I am a Machine Learning Scientist on the Foundation Model (Large Language Modeling) team at Prescient Design, Genentech. My research focus is on foundation models for advancing science. I did my PhD in machine learning at UC Berkeley advised by Moritz Hardt and Jacob Steinhardt, where I worked on algorithmic fairness, interpretability of deep networks, and training set compositions for foundation models in biology.

During my PhD, in the summer and fall of 2022 I was AI resident at Google X working on biological sequence design. Before my PhD, 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.