“More specifically, I focus on technical and empirical AI ethics and safety in natural language processing, multimodal machine learning, and human-AI collaboration.”In their own words: faculty.washington.edu
Associate professor at the University of Washington Information School; studies bias, safety and societal impacts of AI systems.
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Received $250k from 1 funder
Checked 25 Oct 2026
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1 grant totalling $250k, newest first.
2025 1 grant · $250k
| Date | Funder | Amount | Purpose |
|---|---|---|---|
| 2025 | Science of Trustworthy AI | ~$250k | Science of Trustworthy AI — Inference-Time Compute (2025 cohort): Project: Large Language Model Safety in Inference-Time Motivated Reasoning. Inference-time compute safety cohort; per-project amount undisclosed (RFP cap $500K). — Science of Trustworthy AI — Inference-Time Compute source |