If you are a Stanford undergraduate or masters student interested in joining my research group, please apply here.

I am drawn to simple things, want to understand things deeply, and like to build useful systems. I am interested in:

1. What new possibilities do foundation models unlock? Can we simulate societies or solve hard ML problems?
2. How do we build foundation models from first principles? How do we weight multiple datasets? How do we grapple with copyright and fair use? How do we attribute model predictions back to training data?

I am also a strong proponent of efficient and reproducible research. We have been developing CodaLab Worksheets, a platform that allows researchers to run and manage their experiments by maintaining the full provenance of an experiment from raw data to final results. Our papers are on CodaLab as executable papers.

Here is some code for older projects.

• Sidd Karamcheti (co-advised with Dorsa Sadigh)
• Nelson Liu
• Rishi Bommasani (co-advised with Dan Jurafsky)
• Rohith Kuditipudi (co-advised with John Duchi)
• Xiang Lisa Li (co-advised with Tatsunori Hashimoto)
• Joon Sung Park (co-advised with Michael Bernstein)
• Steven Cao (co-advised with Gregory Valiant)
• Yann Dubois (co-advised with Tatsunori Hashimoto)
• Qian Huang (co-advised with Jure Leskovec)
• Ahmed Ahmed (co-advised with Sanmi Koyejo)
• Moo Jin Kim (co-advised with Chelsea Finn)
• Ken Liu (co-advised with Sanmi Koyejo)
• Sarah Cen (post-doc, co-advised with Dan Ho)
• A. Feder Cooper (post-doc, co-advised with Dan Ho)
• Sam Park (post-doc, co-advised with Tatsunori Hashimoto)
• Sherry Yang (post-doc)

• Jonathan Berant (post-doc 2015, co-advised with Chris Manning, now associate professor at Tel-Aviv University)
• Roy Frostig (Ph.D. 2016, now research scientist at Google Research)
• Sida Wang (Ph.D. 2017, co-advised with Chris Manning, now research scientist at Meta)
• Yuchen Zhang (post-doc 2018, co-advised with Moses Charikar, now researcher at Bytedance)
• He He (post-doc 2018, now assistant professor at New York University)
• Arun Chaganty (Ph.D. 2018, now research scientist at Google Research)
• Kelvin Guu (Ph.D. 2018, now research scientist at Google AI)
• Jacob Steinhardt (Ph.D. 2018, now assistant professor at University of California Berkeley)
• Tatsunori Hashimoto (post-doc 2019, co-advised with John Duchi, now assistant professor at Stanford University)
• Fanny Yang (post-doc 2019, co-advised with John Duchi, now assistant professor at ETH Zurich)
• Panupong (Ice) Pasupat (Ph.D. 2019, now research scientist at Google)
• Daniel Selsam (Ph.D. 2019, co-advised with David Dill, now research scientist at OpenAI)
• Robin Jia (Ph.D. 2020, now assistant professor at University of Southern California)
• Stephen Mussmann (Ph.D. 2021, now assistant professor at Georgia Institute of Technology)
• Pranav Rajpurkar (Ph.D. 2021, co-advised with Andrew Ng, now assistant professor at Harvard University)
• Fereshte Khani (Ph.D. 2021, now research scientist at OpenAI)
• Aditi Raghunathan (Ph.D. 2021, now assistant professor at Carnegie Mellon University)
• Chris Donahue (post-doc 2022, now assistant professor at Carnegie Mellon University)
• Pang Wei Koh (Ph.D. 2022, now assistant professor at University of Washington)
• Niladri Chatterji (post-doc 2023, co-advised with Tatsunori Hashimoto, now research scientist at Meta)
• Shibani Santurkar (post-doc 2023, co-advised with Tatsunori Hashimoto and Tengyu Ma, now research scientist at OpenAI)
• Dimitris Tsipras (post-doc 2023, co-advised with Gregory Valiant, now research scientist at OpenAI)
• Yuhuai (Tony) Wu (post-doc 2023, co-advised with Jay McClelland, co-founder of xAI)
• Yoav Levine (post-doc, 2023, will be assistant professor at Tel Aviv University)
• Ananya Kumar (Ph.D. 2023, co-advised with Tengyu Ma, now research scientist at OpenAI)
• Mina Lee (Ph.D. 2023, now assistant professor at University of Chicago)
• John Thickstun (post-doc 2024, now assistant professor at Cornell University)
• John Hewitt (Ph.D. 2024, co-advised with Chris Manning, will be assistant professor at Columbia University)
• Shiori Sagawa (Ph.D. 2024, now research scientist at OpenAI)
• (Sang) Michael Xie (Ph.D. 2024, co-advised with Tengyu Ma, now research scientist at Meta)
• Michi Yasunaga (Ph.D. 2024, co-advised with Jure Leskovec, now research scientist at Meta)

• Language Models from Scratch (CS336)
• Advances in Foundation Models (CS324)
• Artificial Intelligence (CS221)
• Statistical Learning Theory (CS229T/STATS231) [lecture notes]

• 2012: post-doc at Google
• 2011: Ph.D. from Berkeley (advisors: Michael Jordan and Dan Klein)
• 2005: MEng from MIT (advisor: Michael Collins)
• 2004: B.S. from MIT

• Presidential Early Career Award for Scientists and Engineers (2019)
• IJCAI Computers and Thought Award (2016)
• NSF CAREER Award (2016)
• Sloan Research Fellowship (2015)
• Microsoft Research Faculty Fellowship (2014)
• Graduate fellowships: NSF, NDSEG, GAANN, Siebel Scholar
• Programming contests: 2nd place at 2002 ACM ICPC World Finals, silver medalist at IOI 2000
• Music competitions (piano): Winner of KDFC Classical Star Search (2008, over-21 division), MIT Concerto Competition (2004), Phoenix Young Musicians Competition (2000)