Sarah Cen
Assistant Professor
Studies machine learning at the intersection of statistics, economics, law and policy, including AI audits and algorithmic fairness.
Sarah Cen's lab at CMU works on learning theory & optimization, trustworthy & safe ML and computational social science. 7 papers since 2023, 4 at top venues, mostly EC and AAAI/ACM AIES. Applications close .
At a glance
- papers, 2023–2026
- 2/ year
- at T1 venues
- 57%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 1 papers2026 · T1 0 · collecting
- 2 papers2025 · T1 1
- 3 papers2024 · T1 2
- 1 papers2023 · T1 1
T1 venuesOtherVenues: EC, AAAI/ACM AIES, FAccT, ICML, NeurIPS
Research focuspaper titles that use each topic's words
- Trustworthy & safe ML2 papers
- Learning theory & optimization0 papers
- Computational social science0 papers
- law0 papers
- policy0 papers
Paper list
From DBLP.
20261 paper
20252 papers
20243 papers
- EAAMOFrom Transparency to Accountability and Back: A Discussion of Access and Evidence in AI Auditing (opens in a new tab)
- EC (T1)Measuring Strategization in Recommendation: Users Adapt Their Behavior to Shape Future Content (opens in a new tab)
- EC (T1)User Strategization and Trustworthy Algorithms (opens in a new tab)
20231 paper
Where alumni went
Alumni are not listed on the lab homepage.
Apply to CMUFall 2027
CMU SCS Computer Science PhD
- Round
- Single round
- Opens
- GRE
- See program page
- English
- TOEFL / IELTS / Duolingo (F-1/J-1 non-native speakers)
- Fee
- USD 100 (USD 80 by early deadline)
Confirmed on the program page.
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- GBOxford
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- USGeorgia Tech
Ashwin Pananjady
- Learning theory & optimization
Your notes
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Data
Some numbers could not be verified:
- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
- Collected
- Verified
- Papers
- DBLP
- Members
- Not collected
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.
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