“My research agenda centers on understanding and advancing the trustworthiness and capabilities of large language models (LLMs) and AI agents.”In their own words: web.eecs.umich.edu
Associate Professor of Computer Science and Engineering at the University of Michigan working on NLP and trustworthy, safe LLMs; PI on a Coefficient Giving grant on out-of-context learning in alignment faking.
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Received $638k from 1 funder
Checked 25 Oct 2026
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Funded by
- Coefficient Giving$638k
All grants
1 grant totalling $638k, newest first.
2025 1 grant · $638k
| Date | Funder | Amount | Purpose |
|---|---|---|---|
| Aug 2025 | Coefficient Giving | $638k | Alignment Faking Experiments (Lu Wang) source |