“My research interests center around uncovering general principles that describe and predict the behavior of large-scale ML systems.”In their own words: andrewilyas.com
Assistant professor at Carnegie Mellon University studying general principles that describe and predict the behaviour of large-scale machine learning systems, including data attribution.
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Received $1.1M from 1 funder
Checked 25 Oct 2026
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Funded by
- Coefficient Giving$1.1M
All grants
1 grant totalling $1.1M, newest first.
2026 1 grant · $1.1M
| Date | Funder | Amount | Purpose |
|---|---|---|---|
| Mar 2026 | Coefficient Giving | $1.1M | Study on Covert Malicious Fine-Tuning (Andrew Ilyas) source |