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I am presently a research scientist in artificial intelligence and machine learning at Riverside Research Institute, in Lexington, MA. I use concepts from cognitive science and human neuroscience along with AI and ML approaches to conduct research in human-machine teaming. My current focus is in optimization, autonomous planning, human behavioral modeling, and reinforcement learning.
I was previously a post-doc with Nick Turk-Browne at Yale University, where I studied “the batter’s problem”- how humans learn to perceive subtle signs and statistical regularities in their environment (such as how a pitcher grips and throws a baseball), and how they incorporate that information into their actions (such as adjusting the swing of a bat to account for the most likely pitch). I also collaborated with Yemi Damisah and the Yale Comprehensive Epilepsy Center to study memory impairment in epilepsy.
I received my PhD in biomedical engineering from Johns Hopkins University where I studied human motor learning under John Krakauer.
I enjoy nature - both experiencing it and protecting it.