“We are developing algorithmic and theoretical tools to better understand machine learning and to make it more robust and usable.”In their own words: epfl.ch
Associate professor in EPFL's Theory of Machine Learning Laboratory; researches learning problems at the intersection of machine learning, statistics and optimisation.
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Received $370k from 1 funder
Checked 25 Oct 2026
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1 grant totalling $370k, newest first.
2025 1 grant · $370k
| Date | Funder | Amount | Purpose |
|---|---|---|---|
| 11 Feb 2025 | Science of Trustworthy AI | ~$370k | Science of Trustworthy AI — AI Safety Science (Feb 2025 cohort): Project: Robust LLM-based Scoring of Agent Alignment. One of 27 AI Safety Science awards totaling $10M+; per-project amount undisclosed. — Science of Trustworthy AI — AI Safety Science (Feb 2025 cohort) source |