About

My research interests lie at the intersection of machine learning, optimization, and human-centered design. I develop methods to promote the responsible use of machine learning in medicine, consumer finance, and the physical sciences. In particular, I study topics like algorithmic fairness, interpretability, and personalization.

Previously, I held research positions at Google AI and the Harvard Center for Research on Computation and Society. I also co-founded Petal, a company that uses machine learning to broaden credit access. I received a PhD in Electrical Engineering and Computer Science from MIT, and Bachelors degrees in Operations Research and Economics from UC Berkeley.