“My research contributes to AI Safety and AI for Science.”In their own words: zhijing-jin.com
Assistant Professor at the University of Toronto researching causal reasoning in LLMs, multi-agent LLMs and responsible AI, including interpretability and AI safety work.
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Received $1.3M from 2 funders
Checked 25 Oct 2026
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2 grants totalling $1.3M, newest first.
2025 2 grants · $1.3M
| Date | Funder | Amount | Purpose |
|---|---|---|---|
| Oct 2025 | Coefficient Giving | $926k | AI Safety Research Projects (Zhijing Jin) source |
| 11 Feb 2025 | Science of Trustworthy AI | ~$370k | Science of Trustworthy AI — AI Safety Science (Feb 2025 cohort): Project: Mechanistic Interpretability to Detect Test Set Contamination. One of 27 AI Safety Science awards totaling $10M+; per-project amount undisclosed. — Science of Trustworthy AI — AI Safety Science (Feb 2025 co source |