I am a Psychology PhD student at the University of California Berkeley in Tom Griffiths’ Computational Cognitive Science Lab. Previously, I researched intuitive physics in Josh Tenenbaum’s Computational Cognitive Science Group at MIT.
My interests lie at the intersection between cognitive science and artificial intelligence. Broadly, I want to understand how people integrate perception and reasoning to understand the world around them. I am particularly interested in computationally specifying the algorithms underlying reasoning, as well as the knowledge representations accessed by those algorithms, by drawing on methods from machine learning and statistics. I have most recently focused on how people reason about every day physical events, modeling this “intuitive physics” through knowledge-rich simulations consistent with Newtonian physics.