Prior to co-founding Vicarious, Scott was Entrepreneur-in-Residence at Founders Fund, a $6B venture capital fund focused on hard technology startups. He was formerly CEO of Frogmetrics (Y Combinator 2008), and served as an advisor to Base10 Partners, Felicis Ventures, and 8VC. He 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.

Prior to joining Vicarious, Greg served in several Executive roles including COO of Advanced Fiber Communications, VP of Manufacturing and Engineering at Enphase Energy, VP of Operations at Bossa Nova Robotics, and CEO of Nelson staffing.  Greg has a BS in Industrial Engineering from Oregon State University.

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, Charlotte gained start-up experience at Integrated Plasmonics and Halcyon molecular. She has a passion for cutting edge technology and working on the boundaries between science fiction and science fact.  Charlotte holds a PhD. in Condensed Matter Physics from the University of Birmingham, UK and a MSci. in Experimental and Theoretical Physics from the University of Cambridge, UK.

Dave Disciascio has worked in both large and small companies for 22 years in engineering, architecture, and management specializing in organic software growth. His recent engagement was growing and scaling Bossa Nova in the areas of cloud, data, robotics, and AI to deliver on almost 600 robotic devices in stores delivering near real time insights.

He graduated from Saint Vincent College in 1999 with a B.S. in Computer Science.

Jake was the first product hire at Vicarious and leads the definition of building blocks towards general purpose automation solutions. Previously, he lead Product Development at Bossa Nova Robotics focusing on solving challenges relating to large scale SLAM, human-robot interaction, and product recognition.

Before entering the robotics space, Jake worked as a strategy consultant for L.E.K. Consulting, where he specialized in aviation and biotech. Jake holds a Masters in Engineering Management from Dartmouth College, a B.S. in Civil Engineering, and a B.A. in Economics from UCLA.

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.

Prior to Vicarious, Karen was Director of Mechanical Engineering at Johnson & Johnson in the Robotics and Digital Solutions group.  She joined J&J as part of its acquisition of Verb Surgical, a surgical robotics startup and joint venture between J&J and Google.  Karen joined Verb as employee 5, bringing initial system technology developed at SRI to the new company and helping grow the company to over 400 in her role as technical lead for their robotic arm development program.  Before Verb, Karen worked at SRI International on surgical robotics but also on projects ranging from efficient humanoid walking to silent robotic floor cleaning devices, and self-sterilizing catheters to low-cost robotic components and variable transmissions.

Prior to joining SRI full-time, Karen worked as an engineering fellow with the MISTRAL pediatric medical device consortium, working alongside surgeons at Lucille Packard Children’s Hospital Stanford to design and develop medical devices to address unmet needs. She graduated with a MS Engineering degree from Stanford’s Joint Program in Design, and prior to that earned a BS in Physics from Harvey Mudd College.

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. Follow-up work includes co-proposing the re-parameterization trick for VAEs.

Since then, Miguel has been working on brain-inspired knowledge representation, inference, and learning: CAPTCHA breaking, cognitive maps representation, cognitive programming, etc. He has been a visiting scholar at the University of Cambridge and the University of Manchester, and has been published in Science, NIPS, ICML, JMLR, and several IEEE journals.

Before joining Vicarious, Norm previously led the Manufacturing Operations at Tibit Communications where he spent 4 years implementing and scaling the manufacturing, supply chain and order fulfillment distribution solutions for the SFP+ Passive Optical Network product lines that serviced global telecommunications network operators.

Prior to his time at Tibit Communications, Norm has held various manufacturing and supply chain executive positions and was chartered with scaling several start-up companies from Series A to IPO or acquisition. Norm holds a Bachelor of Science Degree in Industrial Engineering from Penn State University.

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.

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.