Peter Hase

Peter Hase is a Senior Science Associate at Schmidt Sciences and a Visiting Research Scientist at Stanford University. At Schmidt Sciences, he works on the AI Interpretability and Science of Trustworthy AI programs. He has previously worked at Anthropic, Google, Meta, and the Allen Institute for AI. His published research has earned several awards at AI conferences like NeurIPS and ICLR, and he has previously served in senior editorial roles for venues including ACL, EMNLP, and NeurIPS.

Peter holds a BS in Statistical Science from Duke University and a PhD in Computer Science from the University of North Carolina at Chapel Hill.