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| Funder | National Science Foundation (US) |
|---|---|
| Recipient Organization | Chen, Sitan |
| Country | United States |
| Start Date | Jun 01, 2021 |
| End Date | May 31, 2025 |
| Duration | 1,460 days |
| Number of Grantees | 1 |
| Roles | Principal Investigator |
| Data Source | National Science Foundation (US) |
| Grant ID | 2103300 |
This award is made as part of the FY 2021 Mathematical Sciences Postdoctoral Research Fellowships Program. Each of the fellowships supports a research and training project at a host institution in the mathematical sciences, including applications to other disciplines, under the mentorship of a sponsoring scientist.
The title of the project for this fellowship to Sitan Chen is " Provable and Robust Algorithms for Machine Learning". The host institution for the fellowship is the University of California, Berkeley, and the sponsoring scientist is Prasad Raghavendra.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
Chen, Sitan
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