I am a 2nd year Ph.D. student in Computer Science at Princeton University, advised by Prof. Ryan Adams. I also collaborate with Prof. Ben Eysenbach and Prof. Naomi Leonard at Princeton and Prof. Pranav Rajpurkar at Harvard Medical School. Previously, I received my M.S.E. from Princeton University and my A.B from Harvard University, where my thesis was advised by Prof. David Parkes.

My research interests center around human-robot interaction and data-efficient, generalizable reinforcement learning. Recently, I’ve been working on (1) multi-task meta-IRL goal inference using contrastive RL pretraining and (2) learning disentangled, causal world models for efficient RL and compositional learning.