I am a Moore-Sloan Faculty Fellow at the New York University Center for Data Science (CDS), where I study how people learn useful representations of their environment, and how individual differences in these representations can lead to variation in mental health.

I address these question through computational modeling of behavioral, eye-tracking and fMRI data. More recently, I have become interested in the potential of virtual reality (VR) to reveal knowledge that humans implictly use to solve everyday tasks.

I received my PhD in Psychology and Neuroscience from Princeton University, where I did research in Yael Niv's group on computational mechanisms of selective attention during reinforcement learning.

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September 2020. First day at CDS!

May 2020. Defended!

April 2020. Our paper, From Heuristic to Optimal Models in Naturalistic Visual Search, was live at the Bridging AI and Cognitive Science ICLR workshop.