Description
Percy Liang is a prominent figure in the field of computer science, serving as a Professor at Stanford University with a courtesy appointment in Statistics. His research interests revolve around fundamental questions of learning and intelligence, particularly in data-limited and infinite compute regimes. Liang is known for his commitment to open development, a radical form of openness that extends beyond open-source and open-weight models. He founded Marin, a platform that allows for the preregistration and live sharing of both successful and failed experiments, fostering a community of engagement and transparency.
Read More
In addition to his research, Liang is dedicated to education, teaching courses such as CS336 (Language Models from Scratch) and CS324 (Advances in Foundation Models) at Stanford. His goal is to empower individuals to understand, shape, and contribute to the development of foundational AI models. Liang also created CodaLab Worksheets, a platform that supports researchers in managing experiments by maintaining the full provenance from raw data to final results, promoting efficient and reproducible research.
Liang's academic journey includes a Ph.D. from Berkeley, where he was advised by Michael Jordan and Dan Klein, and an MEng from MIT under the guidance of Michael Collins. His contributions to the field have been recognized with numerous awards, including the Schmidt Sciences AI2050 Senior Fellowship in 2022 and the Presidential Early Career Award for Scientists and Engineers in 2019.
Beyond academia, Liang has co-advised numerous students and post-docs who have gone on to become influential figures in the tech industry and academia. His work continues to push the boundaries of AI research, with a focus on building systems that are not only innovative but also accessible and understandable to a broader audience.
- CategoryEducation & Research
What Percy Liang Is Known For
Open development advocacy
Creator of Marin platform
Focus on learning and intelligence
CodaLab Worksheets for reproducible research
Teaching AI courses at Stanford
Ph.D. from Berkeley
MEng from MIT
Recipient of multiple prestigious awards
Percy Liang's Focus Areas
- AI Research
- Education
- Experiment Management
- Open Source Contribution
- Academic Collaboration
