I am a fifth-year PhD student at UC Berkeley advised by Moritz Hardt and Jacob Steinhardt. I have previously worked on the theoretical foundations for algorithmic fairness and empirical investigations into interpretability and robustness of machine learning systems. In the summer and fall of 2022 I was AI resident at Google X working on biological sequence design, and these days my research focus is in machine learning for protein modeling. I work on improving protein property classification and protein design, as well as understanding what protein language models learn.

Previously, I was lucky to be advised by Sebastian Tschiatschek while at University of Cambridge and Cynthia Dwork and Jeffrey Macklis at Harvard University. I am grateful for support from the Gates Cambridge Scholarship during my MPhil and for support from the NSF GRFP and the Open Philanthropy AI Fellows Program during my PhD.