“I use information theory to characterize fundamental performance limits of machine learning systems, and then design algorithms that try to achieve these limits.”In their own words: people.seas.harvard.edu
Individual #5426 Associate Professor of Electrical Engineering at Harvard SEAS; researches information theory, machine learning and responsible AI, including fair and private machine learning.
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Received $304k from 1 funder
Checked 25 Oct 2026
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Funded by
- Coefficient Giving$304k
All grants
1 grant totalling $304k, newest first.
2025 1 grant · $304k
| Date | Funder | Amount | Purpose |
|---|---|---|---|
| Sep 2025 | Coefficient Giving | $304k | LLM Discretion in Deliberative Alignment (Flavio Calmon) source |