Recipient of the Presidential Early Career Award for Scientists and Engineers (PECASE) in 2025
Keynote speaker at ECCV 2024, ACM FAccT 2024, CHIL 2024, and the International Symposium on Biomedical Imaging (2023)
Work on AI capabilities evaluation cited in the 2024 Economic Report of the President
Research on fairness in medical image AI highlighted by SPIE in April 2023
Preprint critiquing emergent abilities received media attention in May 2023
Co-authoring a textbook titled 'Machine Learning from Human Preferences' with Sang Truong and Andy Haupt
Background
Assistant Professor, Department of Computer Science, Stanford University
Adjunct Associate Professor, Department of Computer Science, University of Illinois at Urbana-Champaign
Leads Stanford Trustworthy AI Research (STAIR)
Research focuses on measurement-theoretic foundations for trustworthy AI, including AI evaluation science, algorithmic accountability, and privacy-preserving machine learning
Applied research spans healthcare, neuroimaging, and scientific discovery