“My research goal is to design human-centered AI systems that are not only technically capable, but also meaningfully connected to how people think, interact, and collaborate.”In their own words: cs.stanford.edu
Assistant professor of computer science at Stanford working on socially aware NLP, large language models and human-AI interaction.
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Received $901k from 2 funders
Checked 25 Oct 2026
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2 grants totalling $901k, newest first.
2025 2 grants · $901k
| Date | Funder | Amount | Purpose |
|---|---|---|---|
| Aug 2025 | Coefficient Giving | $531k | Risks in Multi-Agent LLM Systems (Diyi Yang) source |
| 11 Feb 2025 | Science of Trustworthy AI | ~$370k | Science of Trustworthy AI — AI Safety Science (Feb 2025 cohort): Project: Quantifying and Mitigating Privacy Risks in Multi-Agent Systems. One of 27 AI Safety Science awards; per-project amount undisclosed. — Science of Trustworthy AI — AI Safety Science (Feb 2025 cohort) source |