“My research focuses on utilizing geometric structure in data for the design of efficient Machine Learning and Optimization methods with provable guarantees.”In their own words: melanie-weber.com
Assistant Professor of Applied Mathematics and of Computer Science at Harvard, using geometric structure in data to design machine learning and optimisation methods, including work on language models.
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Received $437k from 1 funder
Checked 25 Oct 2026
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Funded by
- Coefficient Giving$437k
All grants
1 grant totalling $437k, newest first.
2025 1 grant · $437k
| Date | Funder | Amount | Purpose |
|---|---|---|---|
| Oct 2025 | Coefficient Giving | $437k | Nonlinear Structure in Language Models (Melanie Weber) source |