“My research focuses on making analytics with machine learning easy for scientists and analysts to use.”In their own words: ddkang.github.io
Assistant professor of computer science at the University of Illinois Urbana-Champaign; works on machine-learning systems and benchmarks of AI agents' cybersecurity capabilities.
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Received $2.8M from 2 funders
’24
’25
Checked 25 Oct 2026
Money flows
Where their money came from and where it went. Pick years and what to show; hover a box or ribbon for details, click one to focus it, click the background to see everything.
Funded by
All grants
5 grants totalling $2.8M, newest first.
2025 3 grants · $1.3M
| Date | Funder | Amount | Purpose |
|---|---|---|---|
| Apr 2025 | Coefficient Giving | $265k | LLM Hacking Benchmarks source |
| 11 Feb 2025 | Science of Trustworthy AI | ~$370k | Science of Trustworthy AI — AI Safety Science (Feb 2025 cohort): University of Illinois Urbana-Champaign. Project: Benchmarks for AI Agents and Cybersecurity. One of 27 AI Safety Science awards; per-project amount undisclosed. — Science of Trustworthy AI — AI Safety Science (Feb source |
| Feb 2025 | Coefficient Giving | $615k | Zero-knowledge Proofs for Secure AI Audits (Daniel Kang) source |
2024 2 grants · $1.5M
| Date | Funder | Amount | Purpose |
|---|---|---|---|
| Dec 2024 | Coefficient Giving | $725k | Research on AI Benchmarks source |
| Jan 2024 | Coefficient Giving | $800k | LLM Hacking Benchmarks (Daniel Kang) source |