I am a cognitive scientist studying how people dynamically deploy their attention to learn useful representations of the environment, and how individual differences in these representations lead to variation in mental health.

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

I completed my PhD at Princeton University in Yael Niv's lab. Starting September, I will begin a two-year appointment as a Moore-Sloan Faculty Fellow at NYU's Center for Data Science (CDS).


May 2020. Defended my PhD!

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