Research

I am a PhD student in Computer Science at UC Berkeley, where I am advised by Nika Haghtalab, Michael I. Jordan, and Jacob Steinhardt. My research interests lie broadly at the intersections of algorithms, economics, and machine learning. I am in particular excited about developing principles for learning, decision-making, and cooperation in complex environments. My work has been recognized by a SODA Best Student Paper award and an INFORMS Auctions & Market Design Rothkopf Prize (third place). Prior to Berkeley, I received an AB in Computer Science and Mathematics and an SM in Computer Science from Harvard University.