معرفی
Affiliations
Associate Professor at Stanford University's Computer Science Department within the School of Engineering. Director of the Center for Research on Foundation Models (CRFM) and core member of Stanford HAI. Also affiliated with the Artificial Intelligence Lab, Natural Language Processing Group, and Machine Learning Group.
Education
- Ph.D. in Computer Science, UC Berkeley (2011), advisors: Michael Jordan and Dan Klein
- MEng in Computer Science, MIT (2005), advisor: Michael Collins
- B.S. in Computer Science, MIT (2004)
Research
Focuses on foundational aspects of AI, including:
- Foundation models and their societal implications (e.g., copyright, data attribution)
- Building scalable and interpretable AI systems
- Reproducible research via CodaLab Worksheets
- Formal methods for ensuring correctness in ML systems
Key Contributions
Pioneered work in:
- Automated reasoning for Olympiad-style problems
- Data Programming framework for rapid dataset creation
- Executable papers and experiment reproducibility
- AI ethics and model interpretability
Grants & Awards
- Presidential Early Career Award (2019)
- IJCAI Computers and Thought Award (2016)
- Microsoft Research Faculty Fellowship (2014)
- Multiple patents and industry collaborations
Labs & Teams
Leads the CRFM team developing open foundation models. Collaborates with industry (e.g., Google, Meta, OpenAI) and co-founded xAI initiatives. Active in open-source projects like sfig for presentation tools.
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