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BioPercy Liang is an Associate Professor of Computer Science at Stanford University (B.S. from MIT, 2004; Ph.D. from UC Berkeley, 2011) and the director of the Center for Research on Foundation Models (CRFM). 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. He is also a strong proponent of reproducibility through the creation of CodaLab Worksheets. His awards include the Presidential Early Career Award for Scientists and Engineers (2019), IJCAI Computers and Thought Award (2016), an NSF CAREER Award (2016), a Sloan Research Fellowship (2015), a Microsoft Research Faculty Fellowship (2014), and paper awards at ACL, EMNLP, ICML, COLT, ISMIR, CHI, UIST, and RSS.

Richard Liang

MD Student with Scholarly Concentration in Health Services & Policy Research / Global Health, expected graduation Spring 2027
Ph.D. Student in Epidemiology and Clinical Research with Scholarly Concentration in Health Services & Policy Research / Global Health, admitted Autumn 2022
MSTP Student
Master of Arts Student in East Asian Studies, admitted Spring 2024

Current Research and Scholarly InterestsPrimary research interests include:
- applications of advanced epidemiological methods
- life course health and social epidemiology
- bridging population health and basic science research

Clinical & health services research topics have included:
- maternal/child health
- geriatrics/aging
- dermatology, particularly inflammatory skin diseases

Google Scholar Profile: https://scholar.google.com/citations?user=WtCbIZAAAAAJ