I am a PhD student in the Department of Psychology at Princeton University advised by Yael Niv and Nathaniel Daw.
My research focuses on computational theories of learning and decision-making. I am interested in how humans dynamically deploy their attention during reinforcement learning such as to enable useful representations of structure in the environment. I address this question through computational modeling of behavioral, eye-tracking and functional magnetic resonance imaging data.
My ultimate goal is to understand how the interaction between attention and reinforcement learning breaks down in mood disorders, in the hope of identifying potential behavioral and neural targets for intervention.