Intelligent Automation
Shouldn’t Be a Dream
Our Mission: Intelligent Robots for a New Golden Age
We are backed by over $200M from investors like Jeff Bezos, Elon Musk, Mark Zuckerberg, and Samsung. Our technology has been published in peer-reviewed journals like Science and Science Robotics and featured by the New York Times, Wall Street Journal, MIT, Wired, and more. We are helping companies like Pitney Bowes deliver mission-critical products to their customers, and we would love to help you too.
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Join UsOur Team
Before co-founding Vicarious, Scott was CEO of Frogmetrics (Y Combinator S2008), Entrepreneur in Residence at Founders Fund, CXO at OnlySecure (acquired by NetShops) and MarchingOrder (Ben Franklin Partners).
Scott’s design work has been featured in 16 magazines and three museums, including the Institute for Contemporary Art in Philadelphia. Scott earned his BAS in Computer Science and Entrepreneurship from the University of Pennsylvania.
Before co-founding Vicarious, Scott was CEO of Frogmetrics (Y Combinator S2008), Entrepreneur in Residence at Founders Fund, CXO at OnlySecure (acquired by NetShops) and MarchingOrder (Ben Franklin Partners).
Scott’s design work has been featured in 16 magazines and three museums, including the Institute for Contemporary Art in Philadelphia. Scott earned his BAS in Computer Science and Entrepreneurship from the University of Pennsylvania.
Before co-founding Vicarious, Dileep was CTO of Numenta, an AI company he cofounded with Jeff Hawkins and Donna Dubinsky. Before Numenta, Dileep was a Research Fellow at the Redwood Neuroscience Institute.
Dileep has authored 22 patents and several influential papers on the mathematics of brain circuits. Dileep’s research on hierarchical models of the brain earned him a PhD in Electrical Engineerings from Stanford University. He earned his MS in EE from Stanford and his BS from IIT in Bombay.
Before co-founding Vicarious, Dileep was CTO of Numenta, an AI company he cofounded with Jeff Hawkins and Donna Dubinsky. Before Numenta, Dileep was a Research Fellow at the Redwood Neuroscience Institute.
Dileep has authored 22 patents and several influential papers on the mathematics of brain circuits. Dileep’s research on hierarchical models of the brain earned him a PhD in Electrical Engineerings from Stanford University. He earned his MS in EE from Stanford and his BS from IIT in Bombay.
Ken previously earned a BS degree in Computer Science and Physics at Stanford University, where he completed his thesis on image recognition under Peter Norvig.
Before attending Stanford, Ken built laser control circuitry for condensed matter experiments at the University of Georgia, as well as a remote-control flamethrower, an electromagnetic levitator, and a flex sensor suit for controlling robotic arms.
Ken previously earned a BS degree in Computer Science and Physics at Stanford University, where he completed his thesis on image recognition under Peter Norvig.
Before attending Stanford, Ken built laser control circuitry for condensed matter experiments at the University of Georgia, as well as a remote-control flamethrower, an electromagnetic levitator, and a flex sensor suit for controlling robotic arms.
Wolfgang was previously Director of Sequencing at Halcyon Molecular, where he developed image processing and bioinformatics algorithms to sequence DNA with electron microscopes.
Before that, he worked at Alacris Theranostics, using deep sequencing and machine learning to enable personalized cancer treatment. Wolfgang did his post-doc in Machine Learning at Microsoft Research, earned his PhD and MSc from the University of Edinburgh, and his BS from Cambridge.
Wolfgang was previously Director of Sequencing at Halcyon Molecular, where he developed image processing and bioinformatics algorithms to sequence DNA with electron microscopes.
Before that, he worked at Alacris Theranostics, using deep sequencing and machine learning to enable personalized cancer treatment. Wolfgang did his post-doc in Machine Learning at Microsoft Research, earned his PhD and MSc from the University of Edinburgh, and his BS from Cambridge.
Bhaskara Marthi was previously a Research Scientist at Willow Garage, where he devised algorithms for robots to build 3D maps of their surroundings, assemble Ikea furniture, and tidy rooms in an optimal way.
Before that, Bhaskara completed his post-doc in artificial intelligence at MIT and earned his PhD in Computer Science from UC Berkeley.
His favorite learning agent is two years old and has already achieved state of the art results on the task of detecting candy in cluttered images.
Bhaskara Marthi was previously a Research Scientist at Willow Garage, where he devised algorithms for robots to build 3D maps of their surroundings, assemble Ikea furniture, and tidy rooms in an optimal way.
Before that, Bhaskara completed his post-doc in artificial intelligence at MIT and earned his PhD in Computer Science from UC Berkeley.
His favorite learning agent is two years old and has already achieved state of the art results on the task of detecting candy in cluttered images.
Before joining Vicarious as Director of Operations, Charlotte was a researcher at Integrated Plasmonics and Halcyon Molecular, where she manipulated and imaged the nanoworld.
Before that she was a post-doc in the Electron Microscopy Group at the University of Cambridge. She first got a taste for manipulating sub-atomic particles during her PhD at the University of Birmingham in the Condensed Matter Group and earned her MSci in Experimental and Theoretical Physics at the University of Cambridge.
Before joining Vicarious as Director of Operations, Charlotte was a researcher at Integrated Plasmonics and Halcyon Molecular, where she manipulated and imaged the nanoworld.
Before that she was a post-doc in the Electron Microscopy Group at the University of Cambridge. She first got a taste for manipulating sub-atomic particles during her PhD at the University of Birmingham in the Condensed Matter Group and earned her MSci in Experimental and Theoretical Physics at the University of Cambridge.
Xinghua received his PhD. in Computer Science at Universität Heidelberg, under Fred Hamprecht. He worked on graphical models and structured learning for biomedical data analysis.
He has published in NIPS, ICML, CVPR, Bioinformatics, IEEE-TMI, among others. Though initially trained as an experimental physicist in Engineering Physics at Tsinghua University, he is very excited about the current path towards building machines that can learn and reason.
Xinghua received his PhD. in Computer Science at Universität Heidelberg, under Fred Hamprecht. He worked on graphical models and structured learning for biomedical data analysis.
He has published in NIPS, ICML, CVPR, Bioinformatics, IEEE-TMI, among others. Though initially trained as an experimental physicist in Engineering Physics at Tsinghua University, he is very excited about the current path towards building machines that can learn and reason.
Miguel previously earned his PhD in machine learning at Universidad Carlos III de Madrid. In his thesis, Miguel developed a sparse Gaussian process model which has become the de facto benchmark for fast regression algorithms.
Since then, Miguel has been working on approximate inference algorithms for other Bayesian models. He has been a visiting scholar at the University of Cambridge and the University of Manchester, and has authored and reviewed for NIPS, JMLR, and several IEEE journals.
Miguel previously earned his PhD in machine learning at Universidad Carlos III de Madrid. In his thesis, Miguel developed a sparse Gaussian process model which has become the de facto benchmark for fast regression algorithms.
Since then, Miguel has been working on approximate inference algorithms for other Bayesian models. He has been a visiting scholar at the University of Cambridge and the University of Manchester, and has authored and reviewed for NIPS, JMLR, and several IEEE journals.
Michael was previously a member of the Max Planck Center for Visual Computing and Communication, both at Stanford University and MPII. He earned his PhD from TU Darmstadt for his research on knowledge transfer for object class recognition.
Michael’s work has been published in CVPR, ICCV, ECCV, ICLR, and he received back-to-back Best Paper Awards at CVPR-3dRR. He is thrilled to be able to teach intelligent machines how to see.
Michael was previously a member of the Max Planck Center for Visual Computing and Communication, both at Stanford University and MPII. He earned his PhD from TU Darmstadt for his research on knowledge transfer for object class recognition.
Michael’s work has been published in CVPR, ICCV, ECCV, ICLR, and he received back-to-back Best Paper Awards at CVPR-3dRR. He is thrilled to be able to teach intelligent machines how to see.
Before joining Vicarious as its Resident Chef, Bryan worked as a private chef to Silicon Valley executives since 2001. He started his culinary adventure while living in Japan and working for the US Navy where he toured Asia and was exposed to new foods and cultures.
After his return to the Bay Area, he attended the California Culinary Academy of San Francisco and graduated in 1994. Outside of work, Bryan spends his time with his children, as well as glassblowing and woodworking.
Before joining Vicarious as its Resident Chef, Bryan worked as a private chef to Silicon Valley executives since 2001. He started his culinary adventure while living in Japan and working for the US Navy where he toured Asia and was exposed to new foods and cultures.
After his return to the Bay Area, he attended the California Culinary Academy of San Francisco and graduated in 1994. Outside of work, Bryan spends his time with his children, as well as glassblowing and woodworking.
Nick earned his PhD at UC Berkeley under Stuart Russell. His research applied reinforcement learning and Bayesian analysis to the metalevel control problem: how can an agent learn to control its own computations.
More broadly, he is interested in how AI systems can be safely developed for the benefit of humanity, and how this pursuit might be informed by the cognitive sciences. Born in New Zealand, Nick is still getting used to walking upside down.
Nick earned his PhD at UC Berkeley under Stuart Russell. His research applied reinforcement learning and Bayesian analysis to the metalevel control problem: how can an agent learn to control its own computations.
More broadly, he is interested in how AI systems can be safely developed for the benefit of humanity, and how this pursuit might be informed by the cognitive sciences. Born in New Zealand, Nick is still getting used to walking upside down.
Before joining the Operations Team at Vicarious, Sandhya worked in executive support and operations in both corporate and start-up environments.
Channeling her previous experience in SEO, she expanded those roles to include marketing and brand-storytelling. Sandhya earned a BA in Neuroscience and History from Kenyon College, where she completed theses on traumatic brain injury and sub-Saharan mineral economies.
Before joining the Operations Team at Vicarious, Sandhya worked in executive support and operations in both corporate and start-up environments.
Channeling her previous experience in SEO, she expanded those roles to include marketing and brand-storytelling. Sandhya earned a BA in Neuroscience and History from Kenyon College, where she completed theses on traumatic brain injury and sub-Saharan mineral economies.
Scott earned his BS in Applied and Computational Mathematics at Brigham Young University. While there, he completed undergraduate research in handwriting recognition, created possibly the world’s best competitive bot for the game Puyo Puyo, programmed a cryptanalysis engine to attack a variety of common cyphers, and wrote a multi-threaded program to decipher a symmetric-key cryptography challenge.
Scott loves to cook, solve online math challenges, and work on coding projects. He especially enjoys saving time by making computer programs that play online games autonomously, so that he doesn’t have to.
Scott earned his BS in Applied and Computational Mathematics at Brigham Young University. While there, he completed undergraduate research in handwriting recognition, created possibly the world’s best competitive bot for the game Puyo Puyo, programmed a cryptanalysis engine to attack a variety of common cyphers, and wrote a multi-threaded program to decipher a symmetric-key cryptography challenge.
Scott loves to cook, solve online math challenges, and work on coding projects. He especially enjoys saving time by making computer programs that play online games autonomously, so that he doesn’t have to.
Alex completed his PhD in Cognitive Neuroscience with Peter Tse at Dartmouth College, where his work sought mechanistic links between the distributed networks of the brain and the mind they create.
The questions that drive him are: How does the human brain mediate flexible, creative cognitive behaviors including artistic and scientific thought? Why is our species the only one (so far) to demonstrate these abilities? And how are these abilities realized via dynamic interactions in distributed neural networks?
In his free time, Alex enjoys hiking, gardening, and creating sculpture that reveals hidden processes in the environment. He looks forward to the day when machines begin imagining a better world.
Alex completed his PhD in Cognitive Neuroscience with Peter Tse at Dartmouth College, where his work sought mechanistic links between the distributed networks of the brain and the mind they create.
The questions that drive him are: How does the human brain mediate flexible, creative cognitive behaviors including artistic and scientific thought? Why is our species the only one (so far) to demonstrate these abilities? And how are these abilities realized via dynamic interactions in distributed neural networks?
In his free time, Alex enjoys hiking, gardening, and creating sculpture that reveals hidden processes in the environment. He looks forward to the day when machines begin imagining a better world.
Carter was previously a research scientist at UC Berkeley where his work focused on neural mechanisms of reasoning, memory, and cognitive control. He has authored publications in journals including Cerebral Cortex, Neuron, Journal of Neuroscience, Developmental Science, and Neurocomputing.
Prior to working as a neuroscientist, Carter earned his Ph.D. in Computer Science (Artificial Intelligence), under Lokendra Shastri and Jerry Feldman. Now that he has figured out how human brains work (if only), Carter is excited to apply what he’s learned to the task of creating artificial brains.
Carter was previously a research scientist at UC Berkeley where his work focused on neural mechanisms of reasoning, memory, and cognitive control. He has authored publications in journals including Cerebral Cortex, Neuron, Journal of Neuroscience, Developmental Science, and Neurocomputing.
Prior to working as a neuroscientist, Carter earned his Ph.D. in Computer Science (Artificial Intelligence), under Lokendra Shastri and Jerry Feldman. Now that he has figured out how human brains work (if only), Carter is excited to apply what he’s learned to the task of creating artificial brains.
Nan completed her PhD in Computer Science with Dr. Joe Halpern at Cornell University, where her work focused on enabling machines to automatically learn new actions that they weren’t aware of previously. She also worked on designing equilibrium concepts that explain and motivate people’s cooperative behavior in a game theoretic setting.
She is pretty serious about theories and at the same time excited by building robots. Her passion for creating robots started from reading Asimov’s Three Laws. In her free time, she enjoys reading novels, archery, and tree climbing.
Nan completed her PhD in Computer Science with Dr. Joe Halpern at Cornell University, where her work focused on enabling machines to automatically learn new actions that they weren’t aware of previously. She also worked on designing equilibrium concepts that explain and motivate people’s cooperative behavior in a game theoretic setting.
She is pretty serious about theories and at the same time excited by building robots. Her passion for creating robots started from reading Asimov’s Three Laws. In her free time, she enjoys reading novels, archery, and tree climbing.
Jimmy earned his Ph.D. in Engineering at the Osaka University under the supervision of Minoru Asada and Yukie Nagai. His work allowed robots to develop prosocial behavior similar to infants’ based on a prediction error minimization mechanism. The system is based on Bayesian inference and the Free Energy principle.
Previously, Jimmy was student at Paul Sabatier University in France where he studied automatism, signal processing and electronics. Jimmy loves cooking, traveling and playing all kind of sports.
Jimmy earned his Ph.D. in Engineering at the Osaka University under the supervision of Minoru Asada and Yukie Nagai. His work allowed robots to develop prosocial behavior similar to infants’ based on a prediction error minimization mechanism. The system is based on Bayesian inference and the Free Energy principle.
Previously, Jimmy was student at Paul Sabatier University in France where he studied automatism, signal processing and electronics. Jimmy loves cooking, traveling and playing all kind of sports.
Eyrún’s research interests lie on the intersection of Artificial Intelligence and Neuroscience. She completed her PhD at Caltech where she worked with Pietro Perona on automated analysis of behavior, particularly that of fruit flies, in a collaboration with the David Anderson Lab.
During her PhD, she interned at Qualcomm Research Center, where she developed a power-efficient context-classification algorithm for smartphones. Prior to Caltech, she received her MS in Computer Science from UCSB and her BS in Mathematics from the University of Iceland.
Her favorite pastime activities involve the backcountry, home brewing, and knitting.
Eyrún’s research interests lie on the intersection of Artificial Intelligence and Neuroscience. She completed her PhD at Caltech where she worked with Pietro Perona on automated analysis of behavior, particularly that of fruit flies, in a collaboration with the David Anderson Lab.
During her PhD, she interned at Qualcomm Research Center, where she developed a power-efficient context-classification algorithm for smartphones. Prior to Caltech, she received her MS in Computer Science from UCSB and her BS in Mathematics from the University of Iceland.
Her favorite pastime activities involve the backcountry, home brewing, and knitting.
Jaldert earned his PhD at the Free University of Amsterdam under Pieter Roelfsema and Sander Bohte for his work on biologically plausible learning in neural networks. At CMU’s Robotics Institute he worked on the SnackBot, and at Brain Corporation he helped develop indoor navigation solutions for large wheeled robots.
Besides playing with state of the art learning systems, Jaldert likes cooking (especially breakfast, his favorite meal), biking, hiking, reading, and Krav Maga.
Jaldert earned his PhD at the Free University of Amsterdam under Pieter Roelfsema and Sander Bohte for his work on biologically plausible learning in neural networks. At CMU’s Robotics Institute he worked on the SnackBot, and at Brain Corporation he helped develop indoor navigation solutions for large wheeled robots.
Besides playing with state of the art learning systems, Jaldert likes cooking (especially breakfast, his favorite meal), biking, hiking, reading, and Krav Maga.
Matthieu was previously a data scientist in Deepomatic, where he worked on the efficient building of similarity datasets and designed deep learning-based models to predict the similarity between objects.
Before joining Deepomatic, Matthieu earned his Ph.D. in Computer Science at ENS Lyon, under Patrick Baillot. During his thesis, he created type systems for lambda-calculus corresponding to polynomial time. When he does not talk about french food, Matthieu enjoys sailing in the bay and brewing his own beers.
Matthieu was previously a data scientist in Deepomatic, where he worked on the efficient building of similarity datasets and designed deep learning-based models to predict the similarity between objects.
Before joining Deepomatic, Matthieu earned his Ph.D. in Computer Science at ENS Lyon, under Patrick Baillot. During his thesis, he created type systems for lambda-calculus corresponding to polynomial time. When he does not talk about french food, Matthieu enjoys sailing in the bay and brewing his own beers.
Anjali Rao was previously a Robotics researcher at Symbio Robotics, where she worked on robotic learning for task generalization. Before that she earned her Master’s degree from SUNY Stony Brook University. Her Master’s thesis was focused on User-guided Inverse Kinematics based Path planning for redundant manipulators. She completed her Bachelors in Mechanical Engineering in India.
Besides understanding the early stages of human brain development, she enjoys reading, traveling and cooking.
Anjali Rao was previously a Robotics researcher at Symbio Robotics, where she worked on robotic learning for task generalization. Before that she earned her Master’s degree from SUNY Stony Brook University. Her Master’s thesis was focused on User-guided Inverse Kinematics based Path planning for redundant manipulators. She completed her Bachelors in Mechanical Engineering in India.
Besides understanding the early stages of human brain development, she enjoys reading, traveling and cooking.
Swaroop completed his PhD in Cognitive Neuroscience at Dartmouth College under James Haxby. His work in the Haxby Lab focused on understanding neural representation of visual and auditory information and developing computational methods for probing and building models of representational spaces in the brain.
Prior to Vicarious, he was a postdoc in HaxbyLab and a visiting scholar at Stanford. He received his MS in Computer Science from Texas A&M University under Bruce McCormick, and BS in Mechanical Engineering from IIT Madras.
Swaroop enjoys running, hiking, reading math, science, and sci-fi, coffee, and hoppy IPAs.
Swaroop completed his PhD in Cognitive Neuroscience at Dartmouth College under James Haxby. His work in the Haxby Lab focused on understanding neural representation of visual and auditory information and developing computational methods for probing and building models of representational spaces in the brain.
Prior to Vicarious, he was a postdoc in HaxbyLab and a visiting scholar at Stanford. He received his MS in Computer Science from Texas A&M University under Bruce McCormick, and BS in Mechanical Engineering from IIT Madras.
Swaroop enjoys running, hiking, reading math, science, and sci-fi, coffee, and hoppy IPAs.
Jake previously lead Product Development at Bossa Nova Robotics where he spent 6 years working with the team to solve challenges relating to large scale SLAM, human-robot interaction and product recognition.
Before entering the robotics space, Jake worked as a strategy consultant for LEK Consulting, where he specialized in aviation and biotech. Jake holds a Masters in Engineering Management from Dartmouth College, a BS in Civil Engineering, and BA in Economics from UCLA.
Jake previously lead Product Development at Bossa Nova Robotics where he spent 6 years working with the team to solve challenges relating to large scale SLAM, human-robot interaction and product recognition.
Before entering the robotics space, Jake worked as a strategy consultant for LEK Consulting, where he specialized in aviation and biotech. Jake holds a Masters in Engineering Management from Dartmouth College, a BS in Civil Engineering, and BA in Economics from UCLA.
Siva is interested in bringing together ideas from probabilistic inference and fundamental physics. Before joining Vicarious, he earned a Ph.D. in Physics at UT Austin, advised by Can Kilic. His graduate research focused on topics in Fundamental Theoretical Physics, bringing together themes from Particle Physics, Cosmology, quantum gravity and the use of tensor networks to model emergent properties of high-dimensional quantum systems.
Before graduate school, he spent four exciting years at the Indian Institute of Technology Madras, earning an undergraduate degree in Electrical Engineering and making wonderful friends along the way.
In his free time, Siva enjoys indulging his curiosity, reading, playing sports, and pondering the nature of human learning.
Siva is interested in bringing together ideas from probabilistic inference and fundamental physics. Before joining Vicarious, he earned a Ph.D. in Physics at UT Austin, advised by Can Kilic. His graduate research focused on topics in Fundamental Theoretical Physics, bringing together themes from Particle Physics, Cosmology, quantum gravity and the use of tensor networks to model emergent properties of high-dimensional quantum systems.
Before graduate school, he spent four exciting years at the Indian Institute of Technology Madras, earning an undergraduate degree in Electrical Engineering and making wonderful friends along the way.
In his free time, Siva enjoys indulging his curiosity, reading, playing sports, and pondering the nature of human learning.
Prior to joining Vicarious, Mike served as an IT consultant, in both the Bay Area and Southern California, designing secure networks and systems for everything from startups to publicly traded companies.
He appreciates fully redundant network designs, flexible systems architecture, and the simplicity underlying the complexities of Linux. In his free time, Mike enjoys attending concerts and live sporting events, weekend getaways, and bonsai.
Prior to joining Vicarious, Mike served as an IT consultant, in both the Bay Area and Southern California, designing secure networks and systems for everything from startups to publicly traded companies.
He appreciates fully redundant network designs, flexible systems architecture, and the simplicity underlying the complexities of Linux. In his free time, Mike enjoys attending concerts and live sporting events, weekend getaways, and bonsai.
Abhishek enjoys working on intelligent systems that can interact with and reason about their world. Abhishek studied Mechanical Engineering and Computer Science at Cornell University, where he worked in Professor Hadas Kress-Gazit’s Verifiable Robotics Group.
Previously, Abhishek worked in the much more heavily regulated world of medical robots at Neocis Inc. In his free time he enjoys reading and watching Roger Federer highlights.
Abhishek enjoys working on intelligent systems that can interact with and reason about their world. Abhishek studied Mechanical Engineering and Computer Science at Cornell University, where he worked in Professor Hadas Kress-Gazit’s Verifiable Robotics Group.
Previously, Abhishek worked in the much more heavily regulated world of medical robots at Neocis Inc. In his free time he enjoys reading and watching Roger Federer highlights.
Before joining Vicarious, Elton received his M.S in Robotics from Northwestern University and B.S in Bioengineering from the University of California, San Diego. For his Master’s project thesis, he integrated hardware and software components to build a four-wheeled macenum mobile robot that can be controlled with ROS through a Linux computer.
During his free time, he enjoys cooking, playing video games, and keeping up with the latest TV shows.
Before joining Vicarious, Elton received his M.S in Robotics from Northwestern University and B.S in Bioengineering from the University of California, San Diego. For his Master’s project thesis, he integrated hardware and software components to build a four-wheeled macenum mobile robot that can be controlled with ROS through a Linux computer.
During his free time, he enjoys cooking, playing video games, and keeping up with the latest TV shows.
As Sous Chef, Eli supports the culinary staff in executing exciting and nutritious menus. Before joining vicarious, Eli worked as chef de cuisine for the mountain winery. Eli graduated from the California Culinary Academy of San Francisco in 2011 with a passion for whole hog cuisine and butchery.
Her favorite part of being at Vicarious is finding new ways to accommodate different dietary restrictions. Outside of work she enjoys camping and hiking.
As Sous Chef, Eli supports the culinary staff in executing exciting and nutritious menus. Before joining vicarious, Eli worked as chef de cuisine for the mountain winery. Eli graduated from the California Culinary Academy of San Francisco in 2011 with a passion for whole hog cuisine and butchery.
Her favorite part of being at Vicarious is finding new ways to accommodate different dietary restrictions. Outside of work she enjoys camping and hiking.
Saurabh got his Masters in Robotic-Systems from Carnegie Mellon University, where he worked on Virtual Reality, and Autonomous Cars. Saurabh studied a range of coursework during his education, ranging from Machine Learning to Under-actuated Robots.
Prior to that, he worked as a software engineer at Cisco Systems and Magic Leap. In Saurabh’s free time, he loves to play music, and go hiking.
Saurabh got his Masters in Robotic-Systems from Carnegie Mellon University, where he worked on Virtual Reality, and Autonomous Cars. Saurabh studied a range of coursework during his education, ranging from Machine Learning to Under-actuated Robots.
Prior to that, he worked as a software engineer at Cisco Systems and Magic Leap. In Saurabh’s free time, he loves to play music, and go hiking.
Max earned his MS in Robotic Systems Development at Carnegie Mellon University, where he taught RC cars how to drift around suddenly-appearing obstacles. He also worked on trajectory generation and optimization for mobile robots at Omron Adept Technologies.
Max is an advocate of design thinking and adopting a systems approach to the architecture of complex robotic systems. When not working with robots, Max enjoys mountain biking, making coffee, live music, and tinkering with hardware.
Max earned his MS in Robotic Systems Development at Carnegie Mellon University, where he taught RC cars how to drift around suddenly-appearing obstacles. He also worked on trajectory generation and optimization for mobile robots at Omron Adept Technologies.
Max is an advocate of design thinking and adopting a systems approach to the architecture of complex robotic systems. When not working with robots, Max enjoys mountain biking, making coffee, live music, and tinkering with hardware.
Before joining Vicarious, Karthikeyan worked in Honeywell R&D for developing advanced robotics/perception systems for applications in logistics/supply chain. During his MS thesis program at Drexel University, under Dr. Paul Oh, he competed in DRC; where the goal was to design and build humanoid robots to act as disaster recovery agents.
Karthikeyan holds multiple patents and publications in developing state of the art robotic systems for industry and research. In his free time, Karthikeyan likes to do charcoal Sketching and lift weights.
Before joining Vicarious, Karthikeyan worked in Honeywell R&D for developing advanced robotics/perception systems for applications in logistics/supply chain. During his MS thesis program at Drexel University, under Dr. Paul Oh, he competed in DRC; where the goal was to design and build humanoid robots to act as disaster recovery agents.
Karthikeyan holds multiple patents and publications in developing state of the art robotic systems for industry and research. In his free time, Karthikeyan likes to do charcoal Sketching and lift weights.
Nicolas completed his PhD in Robotics at the Ecole Polytechnique Federale de Lausanne under the supervision of Aude Billard. In his research, he applied robotics and machine learning tools to improve robots’ ability to interact with their environment, in particular by providing them with the capacity to use artificial skin.
Nicolas enjoys beach-volleyball, learning new languages, and sharing wine with friends. He is also fond of magnets and LEDs.
Nicolas completed his PhD in Robotics at the Ecole Polytechnique Federale de Lausanne under the supervision of Aude Billard. In his research, he applied robotics and machine learning tools to improve robots’ ability to interact with their environment, in particular by providing them with the capacity to use artificial skin.
Nicolas enjoys beach-volleyball, learning new languages, and sharing wine with friends. He is also fond of magnets and LEDs.
Ishan graduated with an MS from the University of Illinois Urbana-Champaign, where he worked on generative modeling. Before joining Vicarious, Ishan was a researcher in computer architecture/ hardware systems and CPU Performance Engineer at AMD and received his Bachelor’s degree from IIT Bombay, India.
In Ishan’s spare time, he loves football (soccer), pool, reading, and also sometimes doing nothing.
Ishan graduated with an MS from the University of Illinois Urbana-Champaign, where he worked on generative modeling. Before joining Vicarious, Ishan was a researcher in computer architecture/ hardware systems and CPU Performance Engineer at AMD and received his Bachelor’s degree from IIT Bombay, India.
In Ishan’s spare time, he loves football (soccer), pool, reading, and also sometimes doing nothing.
Frank received his PhD from the Technische Universität Dresden under the supervision of Carsten Rother. During his PhD, Frank worked on 6D object pose estimation and object tracking.
In his free time, he likes to boulder and cycle.
Frank received his PhD from the Technische Universität Dresden under the supervision of Carsten Rother. During his PhD, Frank worked on 6D object pose estimation and object tracking.
In his free time, he likes to boulder and cycle.
Before joining Vicarious, Abhishek earned his M.S. in Mechanical Engineering from MIT, where he focused on the design and development of an affordable autonomous vehicle for bike lanes in urban environments.
Prior to graduating, he worked as an R&D Engineer at Systemantics India Pvt. Ltd. on kinematics, dynamics, and controls of low-cost industrial arms for OEMs. Abhishek likes to travel, cook, explore craft breweries, and contribute to the MIT RACECAR and F1/10 community.
Before joining Vicarious, Abhishek earned his M.S. in Mechanical Engineering from MIT, where he focused on the design and development of an affordable autonomous vehicle for bike lanes in urban environments.
Prior to graduating, he worked as an R&D Engineer at Systemantics India Pvt. Ltd. on kinematics, dynamics, and controls of low-cost industrial arms for OEMs. Abhishek likes to travel, cook, explore craft breweries, and contribute to the MIT RACECAR and F1/10 community.
Antoine earned his MS from the Massachusetts Institute of Technology Operations Research Center where he was advised by Rahul Mazumder. His MS thesis lies at the intersection of Machine Learning, Optimization and Statistics, building new algorithms to compute sparse interpretable estimators, and understanding their statistical performance.
Prior to joining MIT, he received an MS in Applied Mathematics from Ecole Polytechnique, and gained two international experiences in China and Chile.
When he is not traveling the world, he enjoys cinema, reading, and playing (and watching) sports.
Antoine earned his MS from the Massachusetts Institute of Technology Operations Research Center where he was advised by Rahul Mazumder. His MS thesis lies at the intersection of Machine Learning, Optimization and Statistics, building new algorithms to compute sparse interpretable estimators, and understanding their statistical performance.
Prior to joining MIT, he received an MS in Applied Mathematics from Ecole Polytechnique, and gained two international experiences in China and Chile.
When he is not traveling the world, he enjoys cinema, reading, and playing (and watching) sports.
Li Yang earned his PhD in Computer Science at the University of Massachusetts Amherst under Erik Learned-Miller and Rod Grupen. His research focuses on integrating robotic perception, action, and memory. Li Yang was also a NASA Space Technology Research Fellow and collaborated with the Robonaut team at Johnson Space Center.
Prior to this, he worked at HRL Laboratories, received his Master’s degree at UCLA, and completed his Bachelor’s degree at NCTU in Taiwan.
Outside of work, Li Yang enjoys house dancing and is the owner of a top-ranked computer vision blog on Google search.
Li Yang earned his PhD in Computer Science at the University of Massachusetts Amherst under Erik Learned-Miller and Rod Grupen. His research focuses on integrating robotic perception, action, and memory. Li Yang was also a NASA Space Technology Research Fellow and collaborated with the Robonaut team at Johnson Space Center.
Prior to this, he worked at HRL Laboratories, received his Master’s degree at UCLA, and completed his Bachelor’s degree at NCTU in Taiwan.
Outside of work, Li Yang enjoys house dancing and is the owner of a top-ranked computer vision blog on Google search.
Ahmad received his PhD in computer vision at the School of Interactive Computing, Georgia Institute of Technology, and received his MS in Computer Graphics, Vision and Imaging from University College London. He is interested in recognition problems in videos where motion and sparse labeling can be used to build life-long object learning systems.
He has worked on a diverse set of problems including object detection, discrete optimization techniques for video segmentation and object proposals, optical flow, tracking in bio-imaging, and incremental machine learning.
Outside of work he tries to rock climb many pitches, push a lot of watts on a bicycle, and eat dozens of donuts.
Ahmad received his PhD in computer vision at the School of Interactive Computing, Georgia Institute of Technology, and received his MS in Computer Graphics, Vision and Imaging from University College London. He is interested in recognition problems in videos where motion and sparse labeling can be used to build life-long object learning systems.
He has worked on a diverse set of problems including object detection, discrete optimization techniques for video segmentation and object proposals, optical flow, tracking in bio-imaging, and incremental machine learning.
Outside of work he tries to rock climb many pitches, push a lot of watts on a bicycle, and eat dozens of donuts.
Shadi received her Bachelors of Business Management and Masters in Entrepreneurship Management from Shahid Beheshti University in Tehran. Before joining Vicarious, she worked as a financial operations manager for a broker insurance company.
Outside of the office, Shadi enjoys traveling the world, swimming, and cooking new recipes.
Shadi received her Bachelors of Business Management and Masters in Entrepreneurship Management from Shahid Beheshti University in Tehran. Before joining Vicarious, she worked as a financial operations manager for a broker insurance company.
Outside of the office, Shadi enjoys traveling the world, swimming, and cooking new recipes.
Arjun completed his MS in Robotics from Carnegie Mellon University and his B.Tech in Mathematics and Computing from the Indian Institute of Technology, Guwahati. His research focused on developing techniques for integrating problem-specific information with deep reinforcement and imitation learning methods.
Arjun previously worked at Xerox Research, where he designed deep learning-based models for various problems in computer vision.
In his free time, Arjun enjoys reading, playing sports and traveling.
Arjun completed his MS in Robotics from Carnegie Mellon University and his B.Tech in Mathematics and Computing from the Indian Institute of Technology, Guwahati. His research focused on developing techniques for integrating problem-specific information with deep reinforcement and imitation learning methods.
Arjun previously worked at Xerox Research, where he designed deep learning-based models for various problems in computer vision.
In his free time, Arjun enjoys reading, playing sports and traveling.
Li received her M.S. in computer science from Fudan University, where she worked on embedded system design. Before joining Vicarious, she worked as Web Services Software Engineer at both Amazon and eBay.
She loves watching movies, reading and hiking with friends and family.
Li received her M.S. in computer science from Fudan University, where she worked on embedded system design. Before joining Vicarious, she worked as Web Services Software Engineer at both Amazon and eBay.
She loves watching movies, reading and hiking with friends and family.
The sight of the first coin-op video game sparked Marco’s interest in computer graphics when he was a kid. He started his career as the owner of a shareware-game company and then his passion for computer graphics lead him to work as a graphics developer in the game industry, and later in the flight simulation industry.
Marco worked as a Runtime Engine Software Architect at Aechelon Technology and as a senior software engineer at Page 44 Studios. He enjoys playing video games with his son, cycling, and listening to historical podcasts.
The sight of the first coin-op video game sparked Marco’s interest in computer graphics when he was a kid. He started his career as the owner of a shareware-game company and then his passion for computer graphics lead him to work as a graphics developer in the game industry, and later in the flight simulation industry.
Marco worked as a Runtime Engine Software Architect at Aechelon Technology and as a senior software engineer at Page 44 Studios. He enjoys playing video games with his son, cycling, and listening to historical podcasts.
Previously, Joe worked at Denso Robotics as a robotics sales manager for the West Coast and at Omron-Adept Technologies, guiding clients through the process of evaluating and implementing a range of industrial/collaborative robotic systems and autonomous intelligent vehicles for the industrial and commercial sectors. Joe holds a BS in Electrical Engineering from the University of Kentucky and an MBA from William Howard Taft University
Previously, Joe worked at Denso Robotics as a robotics sales manager for the West Coast and at Omron-Adept Technologies, guiding clients through the process of evaluating and implementing a range of industrial/collaborative robotic systems and autonomous intelligent vehicles for the industrial and commercial sectors. Joe holds a BS in Electrical Engineering from the University of Kentucky and an MBA from William Howard Taft University
Luke earned his BSME from UCF while interning at Hoverfly Technologies. After graduating, he took on the role of Senior Mechanical Engineer and earned valuable experience designing various electromechanical components such as drone frames and camera gimbals.
Luke also invented a patent-pending tether management system that allows tethered aircraft to fly smoothly at any altitude. Luke’s hobbies include CAD modeling, unicycling, hiking, racing RC cars, and FPV flying
Luke earned his BSME from UCF while interning at Hoverfly Technologies. After graduating, he took on the role of Senior Mechanical Engineer and earned valuable experience designing various electromechanical components such as drone frames and camera gimbals.
Luke also invented a patent-pending tether management system that allows tethered aircraft to fly smoothly at any altitude. Luke’s hobbies include CAD modeling, unicycling, hiking, racing RC cars, and FPV flying
Before joining the product team at Vicarious, Sanjana completed her Masters in Engineering Management from Dartmouth College where she obtained a focus area in Operations and Analytics. She had previously interned as a project manager in the Client Operations Team at Neurala Inc.
While completing her Bachelors in Electronics and Communication Engineering in India, Sanjana was a part of Team Indus, an aerospace startup, which competed in the Google Lunar X Prize competition.
An amateur singer, a traveling enthusiast, Sanjana loves playing a board game or two.
Before joining the product team at Vicarious, Sanjana completed her Masters in Engineering Management from Dartmouth College where she obtained a focus area in Operations and Analytics. She had previously interned as a project manager in the Client Operations Team at Neurala Inc.
While completing her Bachelors in Electronics and Communication Engineering in India, Sanjana was a part of Team Indus, an aerospace startup, which competed in the Google Lunar X Prize competition.
An amateur singer, a traveling enthusiast, Sanjana loves playing a board game or two.
Saeid has done research and development in projects including Micron-precision 3D scanners, Virtual/Augmented Reality cameras, and Light Field cameras. Before starting his career in computer vision, Saeid graduated with distinction from St. Mary’s University of San Antonio with an MSc in Electrical Engineering.
While at St. Mary’s University, Saeid worked as a Research Assistant where he performed research in Computer Vision and Machine Learning. Saeid’s research interests are Geometric/Semantic Computer Vision, Machine Learning and Unsupervised Learning. His research has been published in CAIE, ISM, and TCSVT.
Saeid has done research and development in projects including Micron-precision 3D scanners, Virtual/Augmented Reality cameras, and Light Field cameras. Before starting his career in computer vision, Saeid graduated with distinction from St. Mary’s University of San Antonio with an MSc in Electrical Engineering.
While at St. Mary’s University, Saeid worked as a Research Assistant where he performed research in Computer Vision and Machine Learning. Saeid’s research interests are Geometric/Semantic Computer Vision, Machine Learning and Unsupervised Learning. His research has been published in CAIE, ISM, and TCSVT.
Rastislav is a software engineer focused on building hybrid cloud solutions. Previously, he worked as part of the NetBeans team for Sun Microsystems, which was acquired by Oracle in 2010. He also worked on Oracle’s Iaas Cloud offering and on BlackBerry’s BB10 IDE team.
In his spare time, Rastislav enjoys hiking, camping, gaming and practicing the martial art Aikido.
Rastislav is a software engineer focused on building hybrid cloud solutions. Previously, he worked as part of the NetBeans team for Sun Microsystems, which was acquired by Oracle in 2010. He also worked on Oracle’s Iaas Cloud offering and on BlackBerry’s BB10 IDE team.
In his spare time, Rastislav enjoys hiking, camping, gaming and practicing the martial art Aikido.
Before joining Vicarious, Marek helped his parents run their business. He graduated from Humboldt State University with a degree in Criminology and Justice studies, and Psychology.
He takes great pride in his work and that is why he moved up the ranks to now be the Office Manager at Vicarious. In his free time he loves to hike with his wife and play video games.
Before joining Vicarious, Marek helped his parents run their business. He graduated from Humboldt State University with a degree in Criminology and Justice studies, and Psychology.
He takes great pride in his work and that is why he moved up the ranks to now be the Office Manager at Vicarious. In his free time he loves to hike with his wife and play video games.
Before joining Vicarious, Carson attended UCLA where he received his Bachelor of Science in Mathematics degree.
He grew up in Santa Cruz, California and his hobbies include riding bicycles, gaming, programming, cooking, and gardening.
Before joining Vicarious, Carson attended UCLA where he received his Bachelor of Science in Mathematics degree.
He grew up in Santa Cruz, California and his hobbies include riding bicycles, gaming, programming, cooking, and gardening.
Scott has held senior engineer positions for 7 years and has worked with a range of manufacturing technologies for more than a decade. At Tesla, Scott launched the Model 3 and helped refine the Model Y for manufacturability.
Scott holds a Bachelor of Science in Mechanical Engineering from Georgia Tech. He is a hands-on engineer who works collaboratively to develop creative and refined solutions.
Scott loves the outdoors and living an active lifestyle.
Scott has held senior engineer positions for 7 years and has worked with a range of manufacturing technologies for more than a decade. At Tesla, Scott launched the Model 3 and helped refine the Model Y for manufacturability.
Scott holds a Bachelor of Science in Mechanical Engineering from Georgia Tech. He is a hands-on engineer who works collaboratively to develop creative and refined solutions.
Scott loves the outdoors and living an active lifestyle.
Che Kun received his Master of Science in Mechanical Engineering from Purdue University where he worked on mobile robotics for agricultural applications.
Previously, he worked on visual odometry for mobile warehouse robot localization at Vecna Robotics and simulation for autonomous driving trucks at TuSimple. In his free time, Che Kun loves playing sports, dancing, traveling and reading.
Che Kun received his Master of Science in Mechanical Engineering from Purdue University where he worked on mobile robotics for agricultural applications.
Previously, he worked on visual odometry for mobile warehouse robot localization at Vecna Robotics and simulation for autonomous driving trucks at TuSimple. In his free time, Che Kun loves playing sports, dancing, traveling and reading.
Before joining Vicarious, Hayley worked as an application engineer in collaborative robotics at Precise Automation. Her interests include laboratory and industrial automation, both in hardware and robotic programming. She earned her B.S. in Mechanical Engineering from Stanford University, with a specialization in mechatronics.
In her free time, Hayley enjoys scuba diving and perfecting her stand-up comedy routine.
Before joining Vicarious, Hayley worked as an application engineer in collaborative robotics at Precise Automation. Her interests include laboratory and industrial automation, both in hardware and robotic programming. She earned her B.S. in Mechanical Engineering from Stanford University, with a specialization in mechatronics.
In her free time, Hayley enjoys scuba diving and perfecting her stand-up comedy routine.
Born and raised in Oakland, Alex resides in Oakland with his wife, Sasha, their crazy puppy Zero, and two cats Gary and Nibbler.
He is a gamer at heart and still plays when he can. He also loves to BBQ, watch sports, and chat about new technology, cars, anime, and travel as much as possible.
Born and raised in Oakland, Alex resides in Oakland with his wife, Sasha, their crazy puppy Zero, and two cats Gary and Nibbler.
He is a gamer at heart and still plays when he can. He also loves to BBQ, watch sports, and chat about new technology, cars, anime, and travel as much as possible.
David has spent more than twelve years building and releasing software with a focus on mobile and embedded devices at companies including Anki Robotics and Palm’s WebOS.
He graduated from Cal State Hayward with a double major in Computer Engineering and Applied Math and a minor in Physics. In his free time, David enjoys traveling, gaming, yoga, and ballroom dancing.
David has spent more than twelve years building and releasing software with a focus on mobile and embedded devices at companies including Anki Robotics and Palm’s WebOS.
He graduated from Cal State Hayward with a double major in Computer Engineering and Applied Math and a minor in Physics. In his free time, David enjoys traveling, gaming, yoga, and ballroom dancing.
Stannis has broad research interests in the field of probabilistic generative models. He completed his PhD in Applied Mathematics with Dr. Stuart Geman at Brown University demonstrating the importance of kinetics in polymer folding, and developing theory and algorithms to overcome entropic barriers in stochastic dynamics.
During his PhD Stannis interned at Amazon Lab126, where he worked on multi-scale optimization for efficient training of deep neural networks. Stannis also has extensive experience consulting for quantitative finance firms.
He received his Bachelor’s in Mathematical Statistics and Probability from Peking University in China.
Stannis has broad research interests in the field of probabilistic generative models. He completed his PhD in Applied Mathematics with Dr. Stuart Geman at Brown University demonstrating the importance of kinetics in polymer folding, and developing theory and algorithms to overcome entropic barriers in stochastic dynamics.
During his PhD Stannis interned at Amazon Lab126, where he worked on multi-scale optimization for efficient training of deep neural networks. Stannis also has extensive experience consulting for quantitative finance firms.
He received his Bachelor’s in Mathematical Statistics and Probability from Peking University in China.
Phil received his BS in Computer Engineering and Computer Science from the University of Southern California while working for a number of startups and co-founding the SCaLE conference. With a keen interest in automation, he pursued challenges at Ticketmaster, Google, and Facebook before coming to Vicarious.
As a strong open source advocate, Phil worked to release as much work as possible and build an open source-friendly culture at all companies as well as maintaining and contributing to a variety of open source projects in his personal time.
Outside of the office, Phil also enjoys following Metallica around the world and riding his Harley.
Phil received his BS in Computer Engineering and Computer Science from the University of Southern California while working for a number of startups and co-founding the SCaLE conference. With a keen interest in automation, he pursued challenges at Ticketmaster, Google, and Facebook before coming to Vicarious.
As a strong open source advocate, Phil worked to release as much work as possible and build an open source-friendly culture at all companies as well as maintaining and contributing to a variety of open source projects in his personal time.
Outside of the office, Phil also enjoys following Metallica around the world and riding his Harley.
Before coming to Vicarious, Weston developed mechanisms for various satellite systems at Lockheed Martin Space. He holds a Bachelor of Science in Mechanical Engineering from the University of California, Santa Barbara.
Weston is driven to create simple solutions for complex problems. He enjoys riding motorcycles and working on cars.
Before coming to Vicarious, Weston developed mechanisms for various satellite systems at Lockheed Martin Space. He holds a Bachelor of Science in Mechanical Engineering from the University of California, Santa Barbara.
Weston is driven to create simple solutions for complex problems. He enjoys riding motorcycles and working on cars.
Katrina earned her Master’s in Robotic Systems Development from the Robotics Institute, Carnegie Mellon University. Before that, she earned her Bachelor’s degree in Automotive Engineering from Beijing University of Aeronautics and Astronautics. She developed multi-disciplinary skills from both of them in environments of building robots, cars, or watching cars being built.
Her past experience involves building vision and learning systems in industrial automation, designing/developing different subsystems of complex robotic systems and their integration, business development of robotic systems, and so much more. Professionally, she enjoys prototyping and building robots.
In her personal time, her favorite activities include talking about table tennis tables, playing one specific video game, and chasing away squirrels stealing apples and tomatoes from the plants.
Katrina earned her Master’s in Robotic Systems Development from the Robotics Institute, Carnegie Mellon University. Before that, she earned her Bachelor’s degree in Automotive Engineering from Beijing University of Aeronautics and Astronautics. She developed multi-disciplinary skills from both of them in environments of building robots, cars, or watching cars being built.
Her past experience involves building vision and learning systems in industrial automation, designing/developing different subsystems of complex robotic systems and their integration, business development of robotic systems, and so much more. Professionally, she enjoys prototyping and building robots.
In her personal time, her favorite activities include talking about table tennis tables, playing one specific video game, and chasing away squirrels stealing apples and tomatoes from the plants.
Before working at Vicarious, Oscar has always had a passion for computers and technology. Throughout primary and secondary school, he has worked with his school districts to improve infrastructure and workflow from a full-stack perspective.
Primed with this knowledge and experience, Oscar is grateful to be able to apply, improve, and practice his craft as an IT Engineer here at Vicarious.
Outside of work, Oscar likes to compete in games, create and listen to music, and tinker with the newest hardware and technology.
Before working at Vicarious, Oscar has always had a passion for computers and technology. Throughout primary and secondary school, he has worked with his school districts to improve infrastructure and workflow from a full-stack perspective.
Primed with this knowledge and experience, Oscar is grateful to be able to apply, improve, and practice his craft as an IT Engineer here at Vicarious.
Outside of work, Oscar likes to compete in games, create and listen to music, and tinker with the newest hardware and technology.
Michael is a mechanical engineer with a focus on robotics. In his approach, he applies mechanical engineering concepts with a broader understanding of robotic systems. He completed his bachelor’s degree from the University of Illinois Chicago and, during that time, contributed to the book “ROS The Complete Reference” as a Chapter Author. He is a contributor to the R15.08 standard development for mobile robots. Professionally, his passion is designing and implementing robotic systems.
Michael is a mechanical engineer with a focus on robotics. In his approach, he applies mechanical engineering concepts with a broader understanding of robotic systems. He completed his bachelor’s degree from the University of Illinois Chicago and, during that time, contributed to the book “ROS The Complete Reference” as a Chapter Author. He is a contributor to the R15.08 standard development for mobile robots. Professionally, his passion is designing and implementing robotic systems.
Before joining Vicarious, Sergey worked as a Mechanical Engineer and Technician for several successful Bay Area start-ups developing mechanical devices for Biotech and Sustainable Energy industries. He earned his B.S. in Municipal Systems Engineering from State University in Russia and M.S. in Energy Systems Engineering from Iowa State University.
In his free time, he enjoys working in his metal/woodshop and having fun with his two daughters doing outside activities.
Before joining Vicarious, Sergey worked as a Mechanical Engineer and Technician for several successful Bay Area start-ups developing mechanical devices for Biotech and Sustainable Energy industries. He earned his B.S. in Municipal Systems Engineering from State University in Russia and M.S. in Energy Systems Engineering from Iowa State University.
In his free time, he enjoys working in his metal/woodshop and having fun with his two daughters doing outside activities.
Before joining Vicarious, Evan developed software and machine learning systems for start-ups in the Bay Area. He first discovered a passion for programming while doing research in a cancer biology lab. Evan received a BAS in Computer Science from the University of Pennsylvania.
In his free time, he enjoys burritos.
Before joining Vicarious, Evan developed software and machine learning systems for start-ups in the Bay Area. He first discovered a passion for programming while doing research in a cancer biology lab. Evan received a BAS in Computer Science from the University of Pennsylvania.
In his free time, he enjoys burritos.
Jordan first found his passion for automation and robotics while interning for the Advanced Engineering Group at Flex, where he worked on developing industrial automated systems. After earning his B.S. in Mechanical Engineering at the University of California, Davis, he worked as an Applications Engineer creating custom solutions with both collaborative and industrial robots at Buchanan Automation.
A San Francisco native with a love for playing music, Jordan also enjoys reading, running, and spending quality time with his close friends.
Jordan first found his passion for automation and robotics while interning for the Advanced Engineering Group at Flex, where he worked on developing industrial automated systems. After earning his B.S. in Mechanical Engineering at the University of California, Davis, he worked as an Applications Engineer creating custom solutions with both collaborative and industrial robots at Buchanan Automation.
A San Francisco native with a love for playing music, Jordan also enjoys reading, running, and spending quality time with his close friends.
Before joining Vicarious, Victor worked as a software engineer in Google Cloud. He earned his BS in Computer Science at the University of Rochester.
In his free time, Victor among other things enjoys playing table tennis and sous vide cooking.
Before joining Vicarious, Victor worked as a software engineer in Google Cloud. He earned his BS in Computer Science at the University of Rochester.
In his free time, Victor among other things enjoys playing table tennis and sous vide cooking.
Farzad completed his M.A.Sc at University of Toronto where his thesis focused on the development of intelligent navigation and exploration algorithms for mobile robots in urban search and rescue. Prior to this, he completed his undergraduate studies at the University of Waterloo in Mechatronics Engineering.
Other than his passion for making robots smarter using machine learning, he enjoys playing a variety of sports, gaming, and photography
Farzad completed his M.A.Sc at University of Toronto where his thesis focused on the development of intelligent navigation and exploration algorithms for mobile robots in urban search and rescue. Prior to this, he completed his undergraduate studies at the University of Waterloo in Mechatronics Engineering.
Other than his passion for making robots smarter using machine learning, he enjoys playing a variety of sports, gaming, and photography
Bryan is a tech generalist with more than 20 years of experience running production systems and networks. In the mid-90s he founded an Internet service provider in Oklahoma before moving on to other tech companies.
Prior to Vicarious, Bryan worked at Facebook managing cluster infrastructure. He studied Mathematics and Computer Science at the University of Tulsa.
In his spare time he enjoys learning to fly, photography, camping and geeking out over spaceflight and rockets
Bryan is a tech generalist with more than 20 years of experience running production systems and networks. In the mid-90s he founded an Internet service provider in Oklahoma before moving on to other tech companies.
Prior to Vicarious, Bryan worked at Facebook managing cluster infrastructure. He studied Mathematics and Computer Science at the University of Tulsa.
In his spare time he enjoys learning to fly, photography, camping and geeking out over spaceflight and rockets
Chandler was previously at Planet Labs working on imaging science for the world’s largest satellite constellation. Before that, he was building distributed systems to keep the Tweets flowing as a member of Twitter’s core services team.
You can find him at the library studying the science of color or at home teaching his robot how to draw.
Chandler was previously at Planet Labs working on imaging science for the world’s largest satellite constellation. Before that, he was building distributed systems to keep the Tweets flowing as a member of Twitter’s core services team.
You can find him at the library studying the science of color or at home teaching his robot how to draw.
Harrison earned his Bachelor’s in Economics from UC Davis while gaining experience in marketing and graphic design. After graduating, he joined Genentech and recruited university talent across all departments.
Harrison’s hobbies include traveling, staying active, and getting to know you.
Harrison earned his Bachelor’s in Economics from UC Davis while gaining experience in marketing and graphic design. After graduating, he joined Genentech and recruited university talent across all departments.
Harrison’s hobbies include traveling, staying active, and getting to know you.
Karthikeya completed his Masters in Aerospace Engineering from Texas A&M University, where he was involved in research at the intersection of Stochastic Optimal Control, Motion Planning under Uncertainty and Reinforcement Learning. His thesis focused on developing model-based and model-free algorithms in the same domain based on a near-optimal decoupling principle.
Prior to MS, he had a great time interning in robotics labs at KAIST in South Korea and the University of Twente in the Netherlands, while pursuing his bachelor’s in Mechanical Engineering at IIT Guwahati.
His hobbies include flying drones, playing racquetball, savoring Indian classical music, and occasionally jamming up on Cajon/Djembe/Piano.
Karthikeya completed his Masters in Aerospace Engineering from Texas A&M University, where he was involved in research at the intersection of Stochastic Optimal Control, Motion Planning under Uncertainty and Reinforcement Learning. His thesis focused on developing model-based and model-free algorithms in the same domain based on a near-optimal decoupling principle.
Prior to MS, he had a great time interning in robotics labs at KAIST in South Korea and the University of Twente in the Netherlands, while pursuing his bachelor’s in Mechanical Engineering at IIT Guwahati.
His hobbies include flying drones, playing racquetball, savoring Indian classical music, and occasionally jamming up on Cajon/Djembe/Piano.
Dhara completed her Master’s degree in Computer Science from Northeastern University and has previously worked as an engineer on a diverse range of problems, from lower-level systems as well to AI-related tasks, like Machine Translation, at Amazon.
In her free time, she enjoys hiking, running and teaching her kid to terrorize his father.
Dhara completed her Master’s degree in Computer Science from Northeastern University and has previously worked as an engineer on a diverse range of problems, from lower-level systems as well to AI-related tasks, like Machine Translation, at Amazon.
In her free time, she enjoys hiking, running and teaching her kid to terrorize his father.
Brian received his BS in Computer and Information Science from the University of Oregon. As a software engineer, he developed an interest in helping developer communities become more productive through automation and DevOps. As Devops automation engineer, he helped make developers more productive at several companies including Hewlett Packard, Twinspires.com and Auris Health. He enjoys working in Python on an array of on-site and cloud automation challenges.
Outside the office, Brian also enjoys being with family, his two dogs, and designing and casting 3D printed sterling silver jewelry.
Brian received his BS in Computer and Information Science from the University of Oregon. As a software engineer, he developed an interest in helping developer communities become more productive through automation and DevOps. As Devops automation engineer, he helped make developers more productive at several companies including Hewlett Packard, Twinspires.com and Auris Health. He enjoys working in Python on an array of on-site and cloud automation challenges.
Outside the office, Brian also enjoys being with family, his two dogs, and designing and casting 3D printed sterling silver jewelry.
Before joining Vicarious, Aritro was an Applications Engineer at Oracle, focusing on developing chatbots and other machine learning projects. Prior to that, he did his Undergraduate and Masters degrees at MIT in computer science, and did research on applying computer vision towards understanding food images.
In his free time, Aritro enjoys reading and singing, both individually and as part of performance groups.
Before joining Vicarious, Aritro was an Applications Engineer at Oracle, focusing on developing chatbots and other machine learning projects. Prior to that, he did his Undergraduate and Masters degrees at MIT in computer science, and did research on applying computer vision towards understanding food images.
In his free time, Aritro enjoys reading and singing, both individually and as part of performance groups.
Dan is a sales professional with 22 years of experience in the industrial robotics and automation industry. Prior to joining Vicarious, Dan worked for KUKA Robotics as an account manager for the southwest region.
His adventures in sales started about halfway through his career with Staubli Robotics as a regional sales manager. Dan was also an applications engineer and later managed a support team at Denso Robotics.
Dan is passionate about robots, automation and all things technological. In his free time, he enjoys camping, fishing, hiking, traveling, and spending time with his family.
Dan is a sales professional with 22 years of experience in the industrial robotics and automation industry. Prior to joining Vicarious, Dan worked for KUKA Robotics as an account manager for the southwest region.
His adventures in sales started about halfway through his career with Staubli Robotics as a regional sales manager. Dan was also an applications engineer and later managed a support team at Denso Robotics.
Dan is passionate about robots, automation and all things technological. In his free time, he enjoys camping, fishing, hiking, traveling, and spending time with his family.
Jesse just finished his Master’s degree in robotics from Oregon State University. He worked in the Dynamic Robotics Laboratory where he researched bipedal robotic locomotion. Jesse has published two ASME papers in foot-to-ground impact dynamics as well as a paper researching how social robots can use expressive motion in improvisational theater.
Before his master’s degree, Jesse served eight years in the US Navy, serving tours in the Arabian Gulf and Japan; he still serves in the US Naval Reserves.
His hobbies include juggling, unicycling, improvisational theater, swing dancing, and volunteering as an MC at FIRST robotics tournaments.
Jesse just finished his Master’s degree in robotics from Oregon State University. He worked in the Dynamic Robotics Laboratory where he researched bipedal robotic locomotion. Jesse has published two ASME papers in foot-to-ground impact dynamics as well as a paper researching how social robots can use expressive motion in improvisational theater.
Before his master’s degree, Jesse served eight years in the US Navy, serving tours in the Arabian Gulf and Japan; he still serves in the US Naval Reserves.
His hobbies include juggling, unicycling, improvisational theater, swing dancing, and volunteering as an MC at FIRST robotics tournaments.
Prior to joining Vicarious, Zhiming was a research assistant in the Laboratory for Progress. He was researching on tracking large articulated objects. Before that, he got his BS degree in Computer Science from the University of Michigan.
Outside of the job, he enjoys snowboarding, playing video games and basketball.
Prior to joining Vicarious, Zhiming was a research assistant in the Laboratory for Progress. He was researching on tracking large articulated objects. Before that, he got his BS degree in Computer Science from the University of Michigan.
Outside of the job, he enjoys snowboarding, playing video games and basketball.
Jim is excited about bringing advanced robots into our daily life. Jim graduated from Cornell University with B.S. and PhD degrees in Mechanical Engineering with a focus on high-level control of modular robot systems as a member of the Verifiable Robotics Research Group.
Before joining Vicarious, Jim was a Senior Software Engineer at Neocis Inc working on the first and only FDA-cleared robotic device for dental surgery. In his free time, Jim likes to tinker, cook and travel.
Jim is excited about bringing advanced robots into our daily life. Jim graduated from Cornell University with B.S. and PhD degrees in Mechanical Engineering with a focus on high-level control of modular robot systems as a member of the Verifiable Robotics Research Group.
Before joining Vicarious, Jim was a Senior Software Engineer at Neocis Inc working on the first and only FDA-cleared robotic device for dental surgery. In his free time, Jim likes to tinker, cook and travel.
Prior to Vicarious, Alice worked as an Office Administrator for a local non profit organization. Before that, she worked as an Inventory/Demand Planning Manager for multiple large retailers such as Walmart and multiple brands at William Sonoma.
She attended San Jose State University and received a BS in Business Management. In her free time she enjoys spending time with her husband and son. She is a huge foodie and loves trying out new restaurants for fun.
Prior to Vicarious, Alice worked as an Office Administrator for a local non profit organization. Before that, she worked as an Inventory/Demand Planning Manager for multiple large retailers such as Walmart and multiple brands at William Sonoma.
She attended San Jose State University and received a BS in Business Management. In her free time she enjoys spending time with her husband and son. She is a huge foodie and loves trying out new restaurants for fun.
Christine has spent the past five years passionately supporting and growing teams. Most recently, she was a Technical Recruiter at Creator, a culinary robotics start-up. Outside of work, she likes to volunteer at a urban forestry non-profit and go on hikes with her dog, Emi.
Christine has spent the past five years passionately supporting and growing teams. Most recently, she was a Technical Recruiter at Creator, a culinary robotics start-up. Outside of work, she likes to volunteer at a urban forestry non-profit and go on hikes with her dog, Emi.
Srikant is happiest when working on difficult to realize, yet potentially transformational technologies. He was previously at Emerald Cloud Lab where he spent 6 years developing a highly-automated Life Sciences laboratory in which experimental protocols can be completely and unambiguously described in code.
Prior to that, he was at Meso Scale Diagnostics where he primarily worked on a BARDA project to develop a Point-of-Care device that could be used to determine the level of radiation a person has absorbed after a nuclear incident.
Srikant earned his PhD in Electrical Engineering at Stanford University and received his BS in Electrical Engineering and BA in Mathematics from the University of Southern California. He loves traveling and watching sports in-person at stadiums around the world.
Srikant is happiest when working on difficult to realize, yet potentially transformational technologies. He was previously at Emerald Cloud Lab where he spent 6 years developing a highly-automated Life Sciences laboratory in which experimental protocols can be completely and unambiguously described in code.
Prior to that, he was at Meso Scale Diagnostics where he primarily worked on a BARDA project to develop a Point-of-Care device that could be used to determine the level of radiation a person has absorbed after a nuclear incident.
Srikant earned his PhD in Electrical Engineering at Stanford University and received his BS in Electrical Engineering and BA in Mathematics from the University of Southern California. He loves traveling and watching sports in-person at stadiums around the world.
A California native, Damon received his BS in Computer Engineering from California State University, Sacramento and an MBA from San Jose State University. He’s held various hardware and software engineering roles at HP, Apple Computer, and Juniper Networks.
He has spent the last couple of years leading IT teams at Silicon Valley startups. Outside of work Damon likes to travel with family and has been volunteering with his kids as dog socializers at the animal shelter. He has a pet ball python named Reggie.
A California native, Damon received his BS in Computer Engineering from California State University, Sacramento and an MBA from San Jose State University. He’s held various hardware and software engineering roles at HP, Apple Computer, and Juniper Networks.
He has spent the last couple of years leading IT teams at Silicon Valley startups. Outside of work Damon likes to travel with family and has been volunteering with his kids as dog socializers at the animal shelter. He has a pet ball python named Reggie.
Phil received his PhD in Computer Vision at UNC-Chapel Hill, and his BS in Computer Science from Stony Brook University. He is interested in object recognition, often motivated by robotics applications.
Outside of work Phil enjoys board games, playing sports, and trying to convince his wife he can build wood furniture.
Phil received his PhD in Computer Vision at UNC-Chapel Hill, and his BS in Computer Science from Stony Brook University. He is interested in object recognition, often motivated by robotics applications.
Outside of work Phil enjoys board games, playing sports, and trying to convince his wife he can build wood furniture.
Sam graduated from Hampshire College with a focus on computer science. He has previously worked as a systems administrator at video game publisher iWin, San Francisco non-profit BAVC , and most recently with Oracle Cloud Infrastructure.
When not working, Sam is passionate about music, playing the drums as well as classical guitar, and film photography.
Sam graduated from Hampshire College with a focus on computer science. He has previously worked as a systems administrator at video game publisher iWin, San Francisco non-profit BAVC , and most recently with Oracle Cloud Infrastructure.
When not working, Sam is passionate about music, playing the drums as well as classical guitar, and film photography.
Before joining Vicarious, Tuly researched and developed robotic behaviors for fluent human-robot collaboration. She earned a master’s degree in Electrical Engineering from Rochester Institute of Technology with a focus on Robotics and previously worked with Ahold Delhaize as an Emerging Technology Developer.
In addition to everything software and hardware, she is fascinated by succulents, punching bags, and watermelons.
Before joining Vicarious, Tuly researched and developed robotic behaviors for fluent human-robot collaboration. She earned a master’s degree in Electrical Engineering from Rochester Institute of Technology with a focus on Robotics and previously worked with Ahold Delhaize as an Emerging Technology Developer.
In addition to everything software and hardware, she is fascinated by succulents, punching bags, and watermelons.
Prior to joining Vicarious, Simon worked as a consultant with the Boston Consulting Group, where he advised Tech and Industrial companies on operations and commercialization.
He is passionate about how converging new technologies will evolve business, society, and what it means to be human in the future.
Simon holds a M.S in Mathematics from Harvard University where he specialized in Statistics and Optimization, and an M.Eng from Ecole Centrale Paris.
Prior to joining Vicarious, Simon worked as a consultant with the Boston Consulting Group, where he advised Tech and Industrial companies on operations and commercialization.
He is passionate about how converging new technologies will evolve business, society, and what it means to be human in the future.
Simon holds a M.S in Mathematics from Harvard University where he specialized in Statistics and Optimization, and an M.Eng from Ecole Centrale Paris.
James attended University of California, San Diego for a B.S. in Computer Engineering and M.S. in Intelligent Systems, Robotics and Controls. In his research during his master’s program, he worked with the Cognitive Robotics Lab on developing new methods for grasping novel objects using vision. James previously worked on embedded software at internships at Hughes Network Systems and SpaceX.
When he’s not working with robots, James enjoys playing and watching basketball, listening to music and watching movies.
James attended University of California, San Diego for a B.S. in Computer Engineering and M.S. in Intelligent Systems, Robotics and Controls. In his research during his master’s program, he worked with the Cognitive Robotics Lab on developing new methods for grasping novel objects using vision. James previously worked on embedded software at internships at Hughes Network Systems and SpaceX.
When he’s not working with robots, James enjoys playing and watching basketball, listening to music and watching movies.
Before joining Vicarious, Juan worked at iRobot developing control, perception and navigation algorithms for mobile robots and served as an architect for the robot autonomy software. He holds an MS in Applied Mathematics from the University of Southern California and a BS in EE from Buenos Aires Institute of Technology.
Juan grew up in the Patagonia region of Argentina.
Before joining Vicarious, Juan worked at iRobot developing control, perception and navigation algorithms for mobile robots and served as an architect for the robot autonomy software. He holds an MS in Applied Mathematics from the University of Southern California and a BS in EE from Buenos Aires Institute of Technology.
Juan grew up in the Patagonia region of Argentina.
Before joining Vicarious, Manushree worked at Magic Leap, where she developed computer vision and deep learning systems for spatial computing. She earned her MS in Computer Science from Columbia University.
In her free time, she enjoys hiking, camping, and rock climbing.
Before joining Vicarious, Manushree worked at Magic Leap, where she developed computer vision and deep learning systems for spatial computing. She earned her MS in Computer Science from Columbia University.
In her free time, she enjoys hiking, camping, and rock climbing.
Previously, Hanna worked at Kiva Systems, a mobile robotic fulfillment start-up which was acquired by Amazon in 2012 and re-branded Amazon Robotics. Hanna worked in various roles in Deployment Engineering and Advance Technology Supply Chain.
Prior to her time at Kiva Systems/Amazon Robotics, Hanna worked at Target Corporation in various Operations and Supply Chain Leadership roles. Hanna earned her MBA from Baker University and a Bachelor of Science in Business Administration with a functional major in Management from University of Central Missouri.
Outside of work, Hanna treasures spending time with her family and friends and has a love for global travel. She is also passionate about volunteering for various causes geared towards eliminating extreme poverty globally.
Previously, Hanna worked at Kiva Systems, a mobile robotic fulfillment start-up which was acquired by Amazon in 2012 and re-branded Amazon Robotics. Hanna worked in various roles in Deployment Engineering and Advance Technology Supply Chain.
Prior to her time at Kiva Systems/Amazon Robotics, Hanna worked at Target Corporation in various Operations and Supply Chain Leadership roles. Hanna earned her MBA from Baker University and a Bachelor of Science in Business Administration with a functional major in Management from University of Central Missouri.
Outside of work, Hanna treasures spending time with her family and friends and has a love for global travel. She is also passionate about volunteering for various causes geared towards eliminating extreme poverty globally.
Edilson completed his MS and PhD in Computer Science in the Saarland University and the Max-Planck Institute for Informatics, where he worked on surface reconstruction and deformation techniques. During his PhD, he interned at the Artificial Intelligence Lab in Stanford.
After his PhD he completed a post-doc in CMU and Disney Research. Edilson’s work has been published in top vision and graphics venues, including CVPR and SIGGRAPH. In his free time, Edilson enjoys jogging and traveling.
Edilson completed his MS and PhD in Computer Science in the Saarland University and the Max-Planck Institute for Informatics, where he worked on surface reconstruction and deformation techniques. During his PhD, he interned at the Artificial Intelligence Lab in Stanford.
After his PhD he completed a post-doc in CMU and Disney Research. Edilson’s work has been published in top vision and graphics venues, including CVPR and SIGGRAPH. In his free time, Edilson enjoys jogging and traveling.
Anish graduated from SJSU with a Bachelor’s in Business Administration, focused on Finance. He interned at the Electric Power Research Institute in Finance division.
Anish enjoys working for companies that focus on advancing solutions for people and has a passion for photography.
Anish graduated from SJSU with a Bachelor’s in Business Administration, focused on Finance. He interned at the Electric Power Research Institute in Finance division.
Anish enjoys working for companies that focus on advancing solutions for people and has a passion for photography.
Scott Phoenix
Co-Founder
Before co-founding Vicarious, Scott was CEO of Frogmetrics (Y Combinator S2008), Entrepreneur in Residence at Founders Fund, CXO at OnlySecure (acquired by NetShops) and MarchingOrder (Ben Franklin Partners).
Scott’s design work has been featured in 16 magazines and three museums, including the Institute for Contemporary Art in Philadelphia. Scott earned his BAS in Computer Science and Entrepreneurship from the University of Pennsylvania.
Dileep George, PhD
Co-Founder
Before co-founding Vicarious, Dileep was CTO of Numenta, an AI company he cofounded with Jeff Hawkins and Donna Dubinsky. Before Numenta, Dileep was a Research Fellow at the Redwood Neuroscience Institute.
Dileep has authored 22 patents and several influential papers on the mathematics of brain circuits. Dileep’s research on hierarchical models of the brain earned him a PhD in Electrical Engineerings from Stanford University. He earned his MS in EE from Stanford and his BS from IIT in Bombay.
Ken Kansky
Platform
Ken previously earned a BS degree in Computer Science and Physics at Stanford University, where he completed his thesis on image recognition under Peter Norvig.
Before attending Stanford, Ken built laser control circuitry for condensed matter experiments at the University of Georgia, as well as a remote-control flamethrower, an electromagnetic levitator, and a flex sensor suit for controlling robotic arms.
Wolfgang Lehrach, PhD
RCN Vision
Wolfgang was previously Director of Sequencing at Halcyon Molecular, where he developed image processing and bioinformatics algorithms to sequence DNA with electron microscopes.
Before that, he worked at Alacris Theranostics, using deep sequencing and machine learning to enable personalized cancer treatment. Wolfgang did his post-doc in Machine Learning at Microsoft Research, earned his PhD and MSc from the University of Edinburgh, and his BS from Cambridge.
Bhaskara Marthi, PhD
Robotics
Bhaskara Marthi was previously a Research Scientist at Willow Garage, where he devised algorithms for robots to build 3D maps of their surroundings, assemble Ikea furniture, and tidy rooms in an optimal way.
Before that, Bhaskara completed his post-doc in artificial intelligence at MIT and earned his PhD in Computer Science from UC Berkeley.
His favorite learning agent is two years old and has already achieved state of the art results on the task of detecting candy in cluttered images.
Charlotte Bowell, PhD
Finance
Before joining Vicarious as Director of Operations, Charlotte was a researcher at Integrated Plasmonics and Halcyon Molecular, where she manipulated and imaged the nanoworld.
Before that she was a post-doc in the Electron Microscopy Group at the University of Cambridge. She first got a taste for manipulating sub-atomic particles during her PhD at the University of Birmingham in the Condensed Matter Group and earned her MSci in Experimental and Theoretical Physics at the University of Cambridge.
Xinghua Lou, PhD
Platform
Xinghua received his PhD. in Computer Science at Universität Heidelberg, under Fred Hamprecht. He worked on graphical models and structured learning for biomedical data analysis.
He has published in NIPS, ICML, CVPR, Bioinformatics, IEEE-TMI, among others. Though initially trained as an experimental physicist in Engineering Physics at Tsinghua University, he is very excited about the current path towards building machines that can learn and reason.
Miguel Lazaro Gredilla, PhD
Long Term Research
Miguel previously earned his PhD in machine learning at Universidad Carlos III de Madrid. In his thesis, Miguel developed a sparse Gaussian process model which has become the de facto benchmark for fast regression algorithms.
Since then, Miguel has been working on approximate inference algorithms for other Bayesian models. He has been a visiting scholar at the University of Cambridge and the University of Manchester, and has authored and reviewed for NIPS, JMLR, and several IEEE journals.
Michael Stark, PhD
Neural Network Vision
Michael was previously a member of the Max Planck Center for Visual Computing and Communication, both at Stanford University and MPII. He earned his PhD from TU Darmstadt for his research on knowledge transfer for object class recognition.
Michael’s work has been published in CVPR, ICCV, ECCV, ICLR, and he received back-to-back Best Paper Awards at CVPR-3dRR. He is thrilled to be able to teach intelligent machines how to see.
Bryan Hart
Kitchen
Before joining Vicarious as its Resident Chef, Bryan worked as a private chef to Silicon Valley executives since 2001. He started his culinary adventure while living in Japan and working for the US Navy where he toured Asia and was exposed to new foods and cultures.
After his return to the Bay Area, he attended the California Culinary Academy of San Francisco and graduated in 1994. Outside of work, Bryan spends his time with his children, as well as glassblowing and woodworking.
Nick Hay, PhD
Control
Nick earned his PhD at UC Berkeley under Stuart Russell. His research applied reinforcement learning and Bayesian analysis to the metalevel control problem: how can an agent learn to control its own computations.
More broadly, he is interested in how AI systems can be safely developed for the benefit of humanity, and how this pursuit might be informed by the cognitive sciences. Born in New Zealand, Nick is still getting used to walking upside down.
Sandhya Bhasker
Sales and Marketing
Before joining the Operations Team at Vicarious, Sandhya worked in executive support and operations in both corporate and start-up environments.
Channeling her previous experience in SEO, she expanded those roles to include marketing and brand-storytelling. Sandhya earned a BA in Neuroscience and History from Kenyon College, where she completed theses on traumatic brain injury and sub-Saharan mineral economies.
Scott Swingle
Motion
Scott earned his BS in Applied and Computational Mathematics at Brigham Young University. While there, he completed undergraduate research in handwriting recognition, created possibly the world’s best competitive bot for the game Puyo Puyo, programmed a cryptanalysis engine to attack a variety of common cyphers, and wrote a multi-threaded program to decipher a symmetric-key cryptography challenge.
Scott loves to cook, solve online math challenges, and work on coding projects. He especially enjoys saving time by making computer programs that play online games autonomously, so that he doesn’t have to.
Alex Schlegel, PhD
Scene Parsing
Alex completed his PhD in Cognitive Neuroscience with Peter Tse at Dartmouth College, where his work sought mechanistic links between the distributed networks of the brain and the mind they create.
The questions that drive him are: How does the human brain mediate flexible, creative cognitive behaviors including artistic and scientific thought? Why is our species the only one (so far) to demonstrate these abilities? And how are these abilities realized via dynamic interactions in distributed neural networks?
In his free time, Alex enjoys hiking, gardening, and creating sculpture that reveals hidden processes in the environment. He looks forward to the day when machines begin imagining a better world.
Carter Wendelken, PhD
Scene Parsing
Carter was previously a research scientist at UC Berkeley where his work focused on neural mechanisms of reasoning, memory, and cognitive control. He has authored publications in journals including Cerebral Cortex, Neuron, Journal of Neuroscience, Developmental Science, and Neurocomputing.
Prior to working as a neuroscientist, Carter earned his Ph.D. in Computer Science (Artificial Intelligence), under Lokendra Shastri and Jerry Feldman. Now that he has figured out how human brains work (if only), Carter is excited to apply what he’s learned to the task of creating artificial brains.
Nan Rong, PhD
Grasping
Nan completed her PhD in Computer Science with Dr. Joe Halpern at Cornell University, where her work focused on enabling machines to automatically learn new actions that they weren’t aware of previously. She also worked on designing equilibrium concepts that explain and motivate people’s cooperative behavior in a game theoretic setting.
She is pretty serious about theories and at the same time excited by building robots. Her passion for creating robots started from reading Asimov’s Three Laws. In her free time, she enjoys reading novels, archery, and tree climbing.
Jimmy Baraglia, PhD
Applications
Jimmy earned his Ph.D. in Engineering at the Osaka University under the supervision of Minoru Asada and Yukie Nagai. His work allowed robots to develop prosocial behavior similar to infants’ based on a prediction error minimization mechanism. The system is based on Bayesian inference and the Free Energy principle.
Previously, Jimmy was student at Paul Sabatier University in France where he studied automatism, signal processing and electronics. Jimmy loves cooking, traveling and playing all kind of sports.
Eyrún Eyjólfsdóttir, PhD
Object and Scene Training
Eyrún’s research interests lie on the intersection of Artificial Intelligence and Neuroscience. She completed her PhD at Caltech where she worked with Pietro Perona on automated analysis of behavior, particularly that of fruit flies, in a collaboration with the David Anderson Lab.
During her PhD, she interned at Qualcomm Research Center, where she developed a power-efficient context-classification algorithm for smartphones. Prior to Caltech, she received her MS in Computer Science from UCSB and her BS in Mathematics from the University of Iceland.
Her favorite pastime activities involve the backcountry, home brewing, and knitting.
Jaldert Rombouts, PhD
Simulation
Jaldert earned his PhD at the Free University of Amsterdam under Pieter Roelfsema and Sander Bohte for his work on biologically plausible learning in neural networks. At CMU’s Robotics Institute he worked on the SnackBot, and at Brain Corporation he helped develop indoor navigation solutions for large wheeled robots.
Besides playing with state of the art learning systems, Jaldert likes cooking (especially breakfast, his favorite meal), biking, hiking, reading, and Krav Maga.
Matthieu Perrinel, PhD
Neural Network Vision
Matthieu was previously a data scientist in Deepomatic, where he worked on the efficient building of similarity datasets and designed deep learning-based models to predict the similarity between objects.
Before joining Deepomatic, Matthieu earned his Ph.D. in Computer Science at ENS Lyon, under Patrick Baillot. During his thesis, he created type systems for lambda-calculus corresponding to polynomial time. When he does not talk about french food, Matthieu enjoys sailing in the bay and brewing his own beers.
Anjali Rao
Grasping
Anjali Rao was previously a Robotics researcher at Symbio Robotics, where she worked on robotic learning for task generalization. Before that she earned her Master’s degree from SUNY Stony Brook University. Her Master’s thesis was focused on User-guided Inverse Kinematics based Path planning for redundant manipulators. She completed her Bachelors in Mechanical Engineering in India.
Besides understanding the early stages of human brain development, she enjoys reading, traveling and cooking.
Swaroop Guntupalli, PhD
RCN Vision
Swaroop completed his PhD in Cognitive Neuroscience at Dartmouth College under James Haxby. His work in the Haxby Lab focused on understanding neural representation of visual and auditory information and developing computational methods for probing and building models of representational spaces in the brain.
Prior to Vicarious, he was a postdoc in HaxbyLab and a visiting scholar at Stanford. He received his MS in Computer Science from Texas A&M University under Bruce McCormick, and BS in Mechanical Engineering from IIT Madras.
Swaroop enjoys running, hiking, reading math, science, and sci-fi, coffee, and hoppy IPAs.
Jake McCarter
Product Management
Jake previously lead Product Development at Bossa Nova Robotics where he spent 6 years working with the team to solve challenges relating to large scale SLAM, human-robot interaction and product recognition.
Before entering the robotics space, Jake worked as a strategy consultant for LEK Consulting, where he specialized in aviation and biotech. Jake holds a Masters in Engineering Management from Dartmouth College, a BS in Civil Engineering, and BA in Economics from UCLA.
Siva Swaminathan, PhD
OST
Siva is interested in bringing together ideas from probabilistic inference and fundamental physics. Before joining Vicarious, he earned a Ph.D. in Physics at UT Austin, advised by Can Kilic. His graduate research focused on topics in Fundamental Theoretical Physics, bringing together themes from Particle Physics, Cosmology, quantum gravity and the use of tensor networks to model emergent properties of high-dimensional quantum systems.
Before graduate school, he spent four exciting years at the Indian Institute of Technology Madras, earning an undergraduate degree in Electrical Engineering and making wonderful friends along the way.
In his free time, Siva enjoys indulging his curiosity, reading, playing sports, and pondering the nature of human learning.
Mike Fled
Infrastructure
Prior to joining Vicarious, Mike served as an IT consultant, in both the Bay Area and Southern California, designing secure networks and systems for everything from startups to publicly traded companies.
He appreciates fully redundant network designs, flexible systems architecture, and the simplicity underlying the complexities of Linux. In his free time, Mike enjoys attending concerts and live sporting events, weekend getaways, and bonsai.
Abhishek Sriraman
Insertion
Abhishek enjoys working on intelligent systems that can interact with and reason about their world. Abhishek studied Mechanical Engineering and Computer Science at Cornell University, where he worked in Professor Hadas Kress-Gazit’s Verifiable Robotics Group.
Previously, Abhishek worked in the much more heavily regulated world of medical robots at Neocis Inc. In his free time he enjoys reading and watching Roger Federer highlights.
Elton Cheng
App Squad
Before joining Vicarious, Elton received his M.S in Robotics from Northwestern University and B.S in Bioengineering from the University of California, San Diego. For his Master’s project thesis, he integrated hardware and software components to build a four-wheeled macenum mobile robot that can be controlled with ROS through a Linux computer.
During his free time, he enjoys cooking, playing video games, and keeping up with the latest TV shows.
Eli Esparza
Operations
As Sous Chef, Eli supports the culinary staff in executing exciting and nutritious menus. Before joining vicarious, Eli worked as chef de cuisine for the mountain winery. Eli graduated from the California Culinary Academy of San Francisco in 2011 with a passion for whole hog cuisine and butchery.
Her favorite part of being at Vicarious is finding new ways to accommodate different dietary restrictions. Outside of work she enjoys camping and hiking.
Saurabh Nair
Insertion
Saurabh got his Masters in Robotic-Systems from Carnegie Mellon University, where he worked on Virtual Reality, and Autonomous Cars. Saurabh studied a range of coursework during his education, ranging from Machine Learning to Under-actuated Robots.
Prior to that, he worked as a software engineer at Cisco Systems and Magic Leap. In Saurabh’s free time, he loves to play music, and go hiking.
Max Hu
App Squad
Max earned his MS in Robotic Systems Development at Carnegie Mellon University, where he taught RC cars how to drift around suddenly-appearing obstacles. He also worked on trajectory generation and optimization for mobile robots at Omron Adept Technologies.
Max is an advocate of design thinking and adopting a systems approach to the architecture of complex robotic systems. When not working with robots, Max enjoys mountain biking, making coffee, live music, and tinkering with hardware.
Karthikeyan Yuvaraj
Scene Parsing
Before joining Vicarious, Karthikeyan worked in Honeywell R&D for developing advanced robotics/perception systems for applications in logistics/supply chain. During his MS thesis program at Drexel University, under Dr. Paul Oh, he competed in DRC; where the goal was to design and build humanoid robots to act as disaster recovery agents.
Karthikeyan holds multiple patents and publications in developing state of the art robotic systems for industry and research. In his free time, Karthikeyan likes to do charcoal Sketching and lift weights.
Nicolas Sommer, PhD
Control
Nicolas completed his PhD in Robotics at the Ecole Polytechnique Federale de Lausanne under the supervision of Aude Billard. In his research, he applied robotics and machine learning tools to improve robots’ ability to interact with their environment, in particular by providing them with the capacity to use artificial skin.
Nicolas enjoys beach-volleyball, learning new languages, and sharing wine with friends. He is also fond of magnets and LEDs.
Ishan Deshpande
Scene Parsing
Ishan graduated with an MS from the University of Illinois Urbana-Champaign, where he worked on generative modeling. Before joining Vicarious, Ishan was a researcher in computer architecture/ hardware systems and CPU Performance Engineer at AMD and received his Bachelor’s degree from IIT Bombay, India.
In Ishan’s spare time, he loves football (soccer), pool, reading, and also sometimes doing nothing.
Frank Michel, PhD
Scene Parsing
Frank received his PhD from the Technische Universität Dresden under the supervision of Carsten Rother. During his PhD, Frank worked on 6D object pose estimation and object tracking.
In his free time, he likes to boulder and cycle.
Abhishek Agarwal
Motion
Before joining Vicarious, Abhishek earned his M.S. in Mechanical Engineering from MIT, where he focused on the design and development of an affordable autonomous vehicle for bike lanes in urban environments.
Prior to graduating, he worked as an R&D Engineer at Systemantics India Pvt. Ltd. on kinematics, dynamics, and controls of low-cost industrial arms for OEMs. Abhishek likes to travel, cook, explore craft breweries, and contribute to the MIT RACECAR and F1/10 community.
Antoine Dedieu
RCN-A
Antoine earned his MS from the Massachusetts Institute of Technology Operations Research Center where he was advised by Rahul Mazumder. His MS thesis lies at the intersection of Machine Learning, Optimization and Statistics, building new algorithms to compute sparse interpretable estimators, and understanding their statistical performance.
Prior to joining MIT, he received an MS in Applied Mathematics from Ecole Polytechnique, and gained two international experiences in China and Chile.
When he is not traveling the world, he enjoys cinema, reading, and playing (and watching) sports.
Li Yang Ku, PhD
Grasping
Li Yang earned his PhD in Computer Science at the University of Massachusetts Amherst under Erik Learned-Miller and Rod Grupen. His research focuses on integrating robotic perception, action, and memory. Li Yang was also a NASA Space Technology Research Fellow and collaborated with the Robonaut team at Johnson Space Center.
Prior to this, he worked at HRL Laboratories, received his Master’s degree at UCLA, and completed his Bachelor’s degree at NCTU in Taiwan.
Outside of work, Li Yang enjoys house dancing and is the owner of a top-ranked computer vision blog on Google search.
Ahmad Humayun, PhD
NN Vision
Ahmad received his PhD in computer vision at the School of Interactive Computing, Georgia Institute of Technology, and received his MS in Computer Graphics, Vision and Imaging from University College London. He is interested in recognition problems in videos where motion and sparse labeling can be used to build life-long object learning systems.
He has worked on a diverse set of problems including object detection, discrete optimization techniques for video segmentation and object proposals, optical flow, tracking in bio-imaging, and incremental machine learning.
Outside of work he tries to rock climb many pitches, push a lot of watts on a bicycle, and eat dozens of donuts.
Shadi Dianat
Finance
Shadi received her Bachelors of Business Management and Masters in Entrepreneurship Management from Shahid Beheshti University in Tehran. Before joining Vicarious, she worked as a financial operations manager for a broker insurance company.
Outside of the office, Shadi enjoys traveling the world, swimming, and cooking new recipes.
Arjun Sharma
Insertion
Arjun completed his MS in Robotics from Carnegie Mellon University and his B.Tech in Mathematics and Computing from the Indian Institute of Technology, Guwahati. His research focused on developing techniques for integrating problem-specific information with deep reinforcement and imitation learning methods.
Arjun previously worked at Xerox Research, where he designed deep learning-based models for various problems in computer vision.
In his free time, Arjun enjoys reading, playing sports and traveling.
Li Zhang
Infrastructure
Li received her M.S. in computer science from Fudan University, where she worked on embedded system design. Before joining Vicarious, she worked as Web Services Software Engineer at both Amazon and eBay.
She loves watching movies, reading and hiking with friends and family.
Marco Carra
OST
The sight of the first coin-op video game sparked Marco’s interest in computer graphics when he was a kid. He started his career as the owner of a shareware-game company and then his passion for computer graphics lead him to work as a graphics developer in the game industry, and later in the flight simulation industry.
Marco worked as a Runtime Engine Software Architect at Aechelon Technology and as a senior software engineer at Page 44 Studios. He enjoys playing video games with his son, cycling, and listening to historical podcasts.
Joe Weber
Sales and Marketing
Previously, Joe worked at Denso Robotics as a robotics sales manager for the West Coast and at Omron-Adept Technologies, guiding clients through the process of evaluating and implementing a range of industrial/collaborative robotic systems and autonomous intelligent vehicles for the industrial and commercial sectors. Joe holds a BS in Electrical Engineering from the University of Kentucky and an MBA from William Howard Taft University
Luke Whitaker
System Design
Luke earned his BSME from UCF while interning at Hoverfly Technologies. After graduating, he took on the role of Senior Mechanical Engineer and earned valuable experience designing various electromechanical components such as drone frames and camera gimbals.
Luke also invented a patent-pending tether management system that allows tethered aircraft to fly smoothly at any altitude. Luke’s hobbies include CAD modeling, unicycling, hiking, racing RC cars, and FPV flying
Sanjana Srinivasan
Product Management
Before joining the product team at Vicarious, Sanjana completed her Masters in Engineering Management from Dartmouth College where she obtained a focus area in Operations and Analytics. She had previously interned as a project manager in the Client Operations Team at Neurala Inc.
While completing her Bachelors in Electronics and Communication Engineering in India, Sanjana was a part of Team Indus, an aerospace startup, which competed in the Google Lunar X Prize competition.
An amateur singer, a traveling enthusiast, Sanjana loves playing a board game or two.
Saeid Shahhosseini
NN Vision
Saeid has done research and development in projects including Micron-precision 3D scanners, Virtual/Augmented Reality cameras, and Light Field cameras. Before starting his career in computer vision, Saeid graduated with distinction from St. Mary’s University of San Antonio with an MSc in Electrical Engineering.
While at St. Mary’s University, Saeid worked as a Research Assistant where he performed research in Computer Vision and Machine Learning. Saeid’s research interests are Geometric/Semantic Computer Vision, Machine Learning and Unsupervised Learning. His research has been published in CAIE, ISM, and TCSVT.
Rastislav Komara
Infrastructure
Rastislav is a software engineer focused on building hybrid cloud solutions. Previously, he worked as part of the NetBeans team for Sun Microsystems, which was acquired by Oracle in 2010. He also worked on Oracle’s Iaas Cloud offering and on BlackBerry’s BB10 IDE team.
In his spare time, Rastislav enjoys hiking, camping, gaming and practicing the martial art Aikido.
Marek Halaj
Operations
Before joining Vicarious, Marek helped his parents run their business. He graduated from Humboldt State University with a degree in Criminology and Justice studies, and Psychology.
He takes great pride in his work and that is why he moved up the ranks to now be the Office Manager at Vicarious. In his free time he loves to hike with his wife and play video games.
Carson Chapman
App Squad
Before joining Vicarious, Carson attended UCLA where he received his Bachelor of Science in Mathematics degree.
He grew up in Santa Cruz, California and his hobbies include riding bicycles, gaming, programming, cooking, and gardening.
Scott Bandy
System Design
Scott has held senior engineer positions for 7 years and has worked with a range of manufacturing technologies for more than a decade. At Tesla, Scott launched the Model 3 and helped refine the Model Y for manufacturability.
Scott holds a Bachelor of Science in Mechanical Engineering from Georgia Tech. He is a hands-on engineer who works collaboratively to develop creative and refined solutions.
Scott loves the outdoors and living an active lifestyle.
Che Kun Law
App Squad
Che Kun received his Master of Science in Mechanical Engineering from Purdue University where he worked on mobile robotics for agricultural applications.
Previously, he worked on visual odometry for mobile warehouse robot localization at Vecna Robotics and simulation for autonomous driving trucks at TuSimple. In his free time, Che Kun loves playing sports, dancing, traveling and reading.
Hayley Ritterhern
Integration Engineering
Before joining Vicarious, Hayley worked as an application engineer in collaborative robotics at Precise Automation. Her interests include laboratory and industrial automation, both in hardware and robotic programming. She earned her B.S. in Mechanical Engineering from Stanford University, with a specialization in mechatronics.
In her free time, Hayley enjoys scuba diving and perfecting her stand-up comedy routine.
Alex Robinson
IT
Born and raised in Oakland, Alex resides in Oakland with his wife, Sasha, their crazy puppy Zero, and two cats Gary and Nibbler.
He is a gamer at heart and still plays when he can. He also loves to BBQ, watch sports, and chat about new technology, cars, anime, and travel as much as possible.
David Woods
Infrastructure
David has spent more than twelve years building and releasing software with a focus on mobile and embedded devices at companies including Anki Robotics and Palm’s WebOS.
He graduated from Cal State Hayward with a double major in Computer Engineering and Applied Math and a minor in Physics. In his free time, David enjoys traveling, gaming, yoga, and ballroom dancing.
Stannis Zhou, PhD
RCN-A
Stannis has broad research interests in the field of probabilistic generative models. He completed his PhD in Applied Mathematics with Dr. Stuart Geman at Brown University demonstrating the importance of kinetics in polymer folding, and developing theory and algorithms to overcome entropic barriers in stochastic dynamics.
During his PhD Stannis interned at Amazon Lab126, where he worked on multi-scale optimization for efficient training of deep neural networks. Stannis also has extensive experience consulting for quantitative finance firms.
He received his Bachelor’s in Mathematical Statistics and Probability from Peking University in China.
Phil Dibowitz
Infrastructure
Phil received his BS in Computer Engineering and Computer Science from the University of Southern California while working for a number of startups and co-founding the SCaLE conference. With a keen interest in automation, he pursued challenges at Ticketmaster, Google, and Facebook before coming to Vicarious.
As a strong open source advocate, Phil worked to release as much work as possible and build an open source-friendly culture at all companies as well as maintaining and contributing to a variety of open source projects in his personal time.
Outside of the office, Phil also enjoys following Metallica around the world and riding his Harley.
Weston Wahl
System Design
Before coming to Vicarious, Weston developed mechanisms for various satellite systems at Lockheed Martin Space. He holds a Bachelor of Science in Mechanical Engineering from the University of California, Santa Barbara.
Weston is driven to create simple solutions for complex problems. He enjoys riding motorcycles and working on cars.
Jiangxia (Katrina) Shi
App Squad
Katrina earned her Master’s in Robotic Systems Development from the Robotics Institute, Carnegie Mellon University. Before that, she earned her Bachelor’s degree in Automotive Engineering from Beijing University of Aeronautics and Astronautics. She developed multi-disciplinary skills from both of them in environments of building robots, cars, or watching cars being built.
Her past experience involves building vision and learning systems in industrial automation, designing/developing different subsystems of complex robotic systems and their integration, business development of robotic systems, and so much more. Professionally, she enjoys prototyping and building robots.
In her personal time, her favorite activities include talking about table tennis tables, playing one specific video game, and chasing away squirrels stealing apples and tomatoes from the plants.
Oscar Baeza
Platform
Before working at Vicarious, Oscar has always had a passion for computers and technology. Throughout primary and secondary school, he has worked with his school districts to improve infrastructure and workflow from a full-stack perspective.
Primed with this knowledge and experience, Oscar is grateful to be able to apply, improve, and practice his craft as an IT Engineer here at Vicarious.
Outside of work, Oscar likes to compete in games, create and listen to music, and tinker with the newest hardware and technology.
Michael Bailey
System Design
Michael is a mechanical engineer with a focus on robotics. In his approach, he applies mechanical engineering concepts with a broader understanding of robotic systems. He completed his bachelor’s degree from the University of Illinois Chicago and, during that time, contributed to the book “ROS The Complete Reference” as a Chapter Author. He is a contributor to the R15.08 standard development for mobile robots. Professionally, his passion is designing and implementing robotic systems.
Sergey Ivankov
Field Engineering
Before joining Vicarious, Sergey worked as a Mechanical Engineer and Technician for several successful Bay Area start-ups developing mechanical devices for Biotech and Sustainable Energy industries. He earned his B.S. in Municipal Systems Engineering from State University in Russia and M.S. in Energy Systems Engineering from Iowa State University.
In his free time, he enjoys working in his metal/woodshop and having fun with his two daughters doing outside activities.
Evan Jonokuchi
RCN-A
Before joining Vicarious, Evan developed software and machine learning systems for start-ups in the Bay Area. He first discovered a passion for programming while doing research in a cancer biology lab. Evan received a BAS in Computer Science from the University of Pennsylvania.
In his free time, he enjoys burritos.
Jordan Leung
System Design
Jordan first found his passion for automation and robotics while interning for the Advanced Engineering Group at Flex, where he worked on developing industrial automated systems. After earning his B.S. in Mechanical Engineering at the University of California, Davis, he worked as an Applications Engineer creating custom solutions with both collaborative and industrial robots at Buchanan Automation.
A San Francisco native with a love for playing music, Jordan also enjoys reading, running, and spending quality time with his close friends.
Victor Liu
Infrastructure
Before joining Vicarious, Victor worked as a software engineer in Google Cloud. He earned his BS in Computer Science at the University of Rochester.
In his free time, Victor among other things enjoys playing table tennis and sous vide cooking.
Farzad Niroui
Grasping
Farzad completed his M.A.Sc at University of Toronto where his thesis focused on the development of intelligent navigation and exploration algorithms for mobile robots in urban search and rescue. Prior to this, he completed his undergraduate studies at the University of Waterloo in Mechatronics Engineering.
Other than his passion for making robots smarter using machine learning, he enjoys playing a variety of sports, gaming, and photography
Bryan Wann
Infrastructure
Bryan is a tech generalist with more than 20 years of experience running production systems and networks. In the mid-90s he founded an Internet service provider in Oklahoma before moving on to other tech companies.
Prior to Vicarious, Bryan worked at Facebook managing cluster infrastructure. He studied Mathematics and Computer Science at the University of Tulsa.
In his spare time he enjoys learning to fly, photography, camping and geeking out over spaceflight and rockets
Chandler Abraham
OST
Chandler was previously at Planet Labs working on imaging science for the world’s largest satellite constellation. Before that, he was building distributed systems to keep the Tweets flowing as a member of Twitter’s core services team.
You can find him at the library studying the science of color or at home teaching his robot how to draw.
Harrison Chi
People Operations
Harrison earned his Bachelor’s in Economics from UC Davis while gaining experience in marketing and graphic design. After graduating, he joined Genentech and recruited university talent across all departments.
Harrison’s hobbies include traveling, staying active, and getting to know you.
Karthikeya Sharma Parunandi
Roboticist
Karthikeya completed his Masters in Aerospace Engineering from Texas A&M University, where he was involved in research at the intersection of Stochastic Optimal Control, Motion Planning under Uncertainty and Reinforcement Learning. His thesis focused on developing model-based and model-free algorithms in the same domain based on a near-optimal decoupling principle.
Prior to MS, he had a great time interning in robotics labs at KAIST in South Korea and the University of Twente in the Netherlands, while pursuing his bachelor’s in Mechanical Engineering at IIT Guwahati.
His hobbies include flying drones, playing racquetball, savoring Indian classical music, and occasionally jamming up on Cajon/Djembe/Piano.
Dhara Balaji
Infrastructure
Dhara completed her Master’s degree in Computer Science from Northeastern University and has previously worked as an engineer on a diverse range of problems, from lower-level systems as well to AI-related tasks, like Machine Translation, at Amazon.
In her free time, she enjoys hiking, running and teaching her kid to terrorize his father.
Brian Jones
Infrastructure
Brian received his BS in Computer and Information Science from the University of Oregon. As a software engineer, he developed an interest in helping developer communities become more productive through automation and DevOps. As Devops automation engineer, he helped make developers more productive at several companies including Hewlett Packard, Twinspires.com and Auris Health. He enjoys working in Python on an array of on-site and cloud automation challenges.
Outside the office, Brian also enjoys being with family, his two dogs, and designing and casting 3D printed sterling silver jewelry.
Aritro Biswas
NN Vision
Before joining Vicarious, Aritro was an Applications Engineer at Oracle, focusing on developing chatbots and other machine learning projects. Prior to that, he did his Undergraduate and Masters degrees at MIT in computer science, and did research on applying computer vision towards understanding food images.
In his free time, Aritro enjoys reading and singing, both individually and as part of performance groups.
Daniel Chu
Sales and Marketing
Dan is a sales professional with 22 years of experience in the industrial robotics and automation industry. Prior to joining Vicarious, Dan worked for KUKA Robotics as an account manager for the southwest region.
His adventures in sales started about halfway through his career with Staubli Robotics as a regional sales manager. Dan was also an applications engineer and later managed a support team at Denso Robotics.
Dan is passionate about robots, automation and all things technological. In his free time, he enjoys camping, fishing, hiking, traveling, and spending time with his family.
Jesse Rond
App Squad
Jesse just finished his Master’s degree in robotics from Oregon State University. He worked in the Dynamic Robotics Laboratory where he researched bipedal robotic locomotion. Jesse has published two ASME papers in foot-to-ground impact dynamics as well as a paper researching how social robots can use expressive motion in improvisational theater.
Before his master’s degree, Jesse served eight years in the US Navy, serving tours in the Arabian Gulf and Japan; he still serves in the US Naval Reserves.
His hobbies include juggling, unicycling, improvisational theater, swing dancing, and volunteering as an MC at FIRST robotics tournaments.
Zhiming Ruan
Scene Parsing
Prior to joining Vicarious, Zhiming was a research assistant in the Laboratory for Progress. He was researching on tracking large articulated objects. Before that, he got his BS degree in Computer Science from the University of Michigan.
Outside of the job, he enjoys snowboarding, playing video games and basketball.
Gangyuan (Jim) Jing, PhD
Insertion
Jim is excited about bringing advanced robots into our daily life. Jim graduated from Cornell University with B.S. and PhD degrees in Mechanical Engineering with a focus on high-level control of modular robot systems as a member of the Verifiable Robotics Research Group.
Before joining Vicarious, Jim was a Senior Software Engineer at Neocis Inc working on the first and only FDA-cleared robotic device for dental surgery. In his free time, Jim likes to tinker, cook and travel.
Alice Harrison
People Operations
Prior to Vicarious, Alice worked as an Office Administrator for a local non profit organization. Before that, she worked as an Inventory/Demand Planning Manager for multiple large retailers such as Walmart and multiple brands at William Sonoma.
She attended San Jose State University and received a BS in Business Management. In her free time she enjoys spending time with her husband and son. She is a huge foodie and loves trying out new restaurants for fun.
Christine Dang
People Operations
Christine has spent the past five years passionately supporting and growing teams. Most recently, she was a Technical Recruiter at Creator, a culinary robotics start-up. Outside of work, she likes to volunteer at a urban forestry non-profit and go on hikes with her dog, Emi.
Srikant Vaithilingam, PhD
Performance Engineering
Srikant is happiest when working on difficult to realize, yet potentially transformational technologies. He was previously at Emerald Cloud Lab where he spent 6 years developing a highly-automated Life Sciences laboratory in which experimental protocols can be completely and unambiguously described in code.
Prior to that, he was at Meso Scale Diagnostics where he primarily worked on a BARDA project to develop a Point-of-Care device that could be used to determine the level of radiation a person has absorbed after a nuclear incident.
Srikant earned his PhD in Electrical Engineering at Stanford University and received his BS in Electrical Engineering and BA in Mathematics from the University of Southern California. He loves traveling and watching sports in-person at stadiums around the world.
Damon Schaefer
IT
A California native, Damon received his BS in Computer Engineering from California State University, Sacramento and an MBA from San Jose State University. He’s held various hardware and software engineering roles at HP, Apple Computer, and Juniper Networks.
He has spent the last couple of years leading IT teams at Silicon Valley startups. Outside of work Damon likes to travel with family and has been volunteering with his kids as dog socializers at the animal shelter. He has a pet ball python named Reggie.
Phil Ammirato, PhD
NN Vision
Phil received his PhD in Computer Vision at UNC-Chapel Hill, and his BS in Computer Science from Stony Brook University. He is interested in object recognition, often motivated by robotics applications.
Outside of work Phil enjoys board games, playing sports, and trying to convince his wife he can build wood furniture.
Sam Gutterman
Infrastructure
Sam graduated from Hampshire College with a focus on computer science. He has previously worked as a systems administrator at video game publisher iWin, San Francisco non-profit BAVC , and most recently with Oracle Cloud Infrastructure.
When not working, Sam is passionate about music, playing the drums as well as classical guitar, and film photography.
Tuly Hazbar
Integration Engineering
Before joining Vicarious, Tuly researched and developed robotic behaviors for fluent human-robot collaboration. She earned a master’s degree in Electrical Engineering from Rochester Institute of Technology with a focus on Robotics and previously worked with Ahold Delhaize as an Emerging Technology Developer.
In addition to everything software and hardware, she is fascinated by succulents, punching bags, and watermelons.
Simon Lapeyry
Revenue
Prior to joining Vicarious, Simon worked as a consultant with the Boston Consulting Group, where he advised Tech and Industrial companies on operations and commercialization.
He is passionate about how converging new technologies will evolve business, society, and what it means to be human in the future.
Simon holds a M.S in Mathematics from Harvard University where he specialized in Statistics and Optimization, and an M.Eng from Ecole Centrale Paris.
James Smith
Grasping
James attended University of California, San Diego for a B.S. in Computer Engineering and M.S. in Intelligent Systems, Robotics and Controls. In his research during his master’s program, he worked with the Cognitive Robotics Lab on developing new methods for grasping novel objects using vision. James previously worked on embedded software at internships at Hughes Network Systems and SpaceX.
When he’s not working with robots, James enjoys playing and watching basketball, listening to music and watching movies.
Juan Oxoby
Simulation
Before joining Vicarious, Juan worked at iRobot developing control, perception and navigation algorithms for mobile robots and served as an architect for the robot autonomy software. He holds an MS in Applied Mathematics from the University of Southern California and a BS in EE from Buenos Aires Institute of Technology.
Juan grew up in the Patagonia region of Argentina.
Manushree Gangwar
OST
Before joining Vicarious, Manushree worked at Magic Leap, where she developed computer vision and deep learning systems for spatial computing. She earned her MS in Computer Science from Columbia University.
In her free time, she enjoys hiking, camping, and rock climbing.
Hanna Machatha
System Integration Operations
Previously, Hanna worked at Kiva Systems, a mobile robotic fulfillment start-up which was acquired by Amazon in 2012 and re-branded Amazon Robotics. Hanna worked in various roles in Deployment Engineering and Advance Technology Supply Chain.
Prior to her time at Kiva Systems/Amazon Robotics, Hanna worked at Target Corporation in various Operations and Supply Chain Leadership roles. Hanna earned her MBA from Baker University and a Bachelor of Science in Business Administration with a functional major in Management from University of Central Missouri.
Outside of work, Hanna treasures spending time with her family and friends and has a love for global travel. She is also passionate about volunteering for various causes geared towards eliminating extreme poverty globally.
Edilson de Aguiar
Scene Parsing
Edilson completed his MS and PhD in Computer Science in the Saarland University and the Max-Planck Institute for Informatics, where he worked on surface reconstruction and deformation techniques. During his PhD, he interned at the Artificial Intelligence Lab in Stanford.
After his PhD he completed a post-doc in CMU and Disney Research. Edilson’s work has been published in top vision and graphics venues, including CVPR and SIGGRAPH. In his free time, Edilson enjoys jogging and traveling.
Anish Amirapu
Payroll Specialist
Anish graduated from SJSU with a Bachelor’s in Business Administration, focused on Finance. He interned at the Electric Power Research Institute in Finance division.
Anish enjoys working for companies that focus on advancing solutions for people and has a passion for photography.
Creating and scaling era-defining technologies takes exceptional people, perspectives, and partnerships.
Together with our extended team of customers, investors, advisors, and industry partners, we are working hard to bring intelligent automation to businesses everywhere and make limitless progress a reality.
DIRECTORS AND ADVISORS
- Dustin Moskovitz
- Vinod Khosla
- Professor Bruno Olshausen
- Professor Alan Yuille
RECENT PRESS
Introducing Vicarious: AI for the Robot Age
Published by VicariousThese Industrial Robots Get More Adept With Every Task
Published by Wired Magazine
