“We study how to create fair, reliable algorithms in healthcare and other high-stakes settings”In their own words: people.eecs.berkeley.edu
Assistant professor of computer science at UC Berkeley (previously Cornell Tech) and part-time senior research fellow at Transluce; her lab works on fair, reliable algorithms in high-stakes settings and on LLM safety and alignment.
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Received $750k from 2 funders
’22
’23
’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
- Coefficient Giving$500k
- FTX Future Fund$250k
All grants
2 grants totalling $750k, newest first.
2025 1 grant · $500k
| Date | Funder | Amount | Purpose |
|---|---|---|---|
| Jun 2025 | Coefficient Giving | $500k | Study on Frontier Model Behavior (Emma Pierson) source |
2022 1 grant · $250k
| Date | Funder | Amount | Purpose |
|---|---|---|---|
| Jun 2022 | FTX Future Fund | $250k | Regrant (recommended by an FTX regrantor): Research on fair and robustly aligned ML systems source |