Jacob Steinhardt

Jacob is an Assistant Professor of Statistics at UC Berkeley since 2019. His work focuses on making machine learning reliable and aligned with human values, touching on topics such as robustness, interpretability, and value learning. He also collaborates with policy researchers and is a technical advisor for Open Philanthropy.