Percy Liang

• Stanford University
• Artificial Intelligence

Percy is an Associate Professor of Computer Science at Stanford University and the director of the Center for Research on Foundation Models. He is currently focused on making foundation models (in particular, language models) more accessible through open-source and understandable through rigorous benchmarking. In the past, he has worked on many topics centered on machine learning and natural language processing, including robustness, interpretability, human interaction, learning theory, grounding, semantics, and reasoning. His awards include the Presidential Early Career Award for Scientists and Engineers, IJCAI Computers and Thought Award, an NSF CAREER Award, a Sloan Research Fellowship, a Microsoft Research Faculty Fellowship, and paper awards at ACL, EMNLP, ICML, COLT, ISMIR, CHI, UIST, and RSS. Percy holds a B.S. from MIT and a PhD from UC Berkeley.