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.