Berk Ustum

Berk's research interests lie at the intersection of machine learning, optimization, and human-centered design. He develops methods to promote the responsible use of machine learning in medicine, consumer finance, and the physical sciences. In particular, he studies topics like algorithmic fairness, interpretability, and personalization.

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