“I am broadly interested in algorithmic questions about learning from data.”In its own words: sitanchen.com
Research group of Harvard SEAS assistant professor Sitan Chen, working on algorithmic and theoretical questions in learning from data, including generative models and quantum learning.
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Received $800k from 1 funder
Led by Sitan Chen (PI (Assistant Professor of Computer Science)Checked 26 Oct 2026
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1 grant totalling $800k, newest first.
2023 1 grant · $800k
| Date | Funder | Amount | Purpose |
|---|---|---|---|
| Sep 2023 | NSF Safe Learning-Enabled Systems | $800k | NSF SLES award 2331831: A Theoretical Lens on Generative AI Safety: Near and Long Term. Estimated total award; 2023 cohort (NSF 23-562, $10.9M announced 31 Oct 2023); programme run with Open Philanthropy and Good Ventures source |