“I aim to advance our scientific understanding of frontier models by uncovering why they fail and how to build systems that remain reliable under pressure.”In their own words: cs.cmu.edu
Assistant professor of computer science at Carnegie Mellon University, studying why frontier models fail and how to build reliable systems, including evaluations for agent safety and jailbreak defences.
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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: Multi-Agent AI Safety via Dynamic Games. PI identified by Caroline. — Science of Trustworthy AI — AI Safety Science (Feb 2025 cohort) source |