I am a 3rd 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. 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 learning efficient & expressive representations for exploration and combinatorial reasoning with RL and LLMs. Recently, I’ve been working on (1) multi-task meta-IRL goal inference using contrastive RL pretraining and (2) learned-order autoregressive models for puzzle solving.