Sendhil Mullainathan
Peter de Florez Professor, Professor of EECS; Professor of Economics
Studies the intersection of algorithms and people, including human-centered AI and machine learning for medicine and behavioral science.
Sendhil Mullainathan's lab at MIT works on human-AI collaboration & trust. 15 papers since 2023, 8 at top venues, mostly ICML and NeurIPS. Applications close .
At a glance
- papers, 2023–2026
- 4/ year
- at T1 venues
- 53%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 5 papers2025 · T1 2
- 8 papers2024 · T1 5
- 2 papers2023 · T1 1
T1 venuesOtherVenues: ICML, NeurIPS, PNAS, Management Science
Research focuspaper titles that use each topic's words
- Human-AI collaboration & trust2 papers
- people1 paper
- behavioral0 papers
- intersection0 papers
- human-centered0 papers
Paper list
From the lab homepage.
20255 papers
- The Quarterly Journal of EconomicsDo financial concerns make workers less productive? (opens in a new tab)
- AEA Papers and ProceedingsEconomics in the Age of Algorithms (opens in a new tab)
- ICML (T1)Potemkin Understanding in Large Language Models (opens in a new tab)
- NEJM AIUsing Large Language Models to Promote Health Equity (opens in a new tab)
- ICML (T1)What Has a Foundation Model Found? Using Inductive Bias to Probe for World Models (opens in a new tab)
20248 papers
- ICML (T1)Do large language models perform the way people expect? Measuring the human generalization function (opens in a new tab)
- PNAS (T1)Does counting change what counts? Quantification fixation biases decision-making (opens in a new tab)
- NeurIPS (T1)Evaluating the world model implicit in a generative model (opens in a new tab)
- NeurIPS (T1)Language generation in the limit (opens in a new tab)
- The Quarterly Journal of EconomicsMachine learning as a tool for hypothesis generation (opens in a new tab)
- Management Science (T1)The challenge of understanding what users want: Inconsistent preferences and engagement optimization (opens in a new tab)
- Perspectives on Psychological Science, 19.5 : 827-838The Inversion Problem: Why Algorithms Should Infer Mental State and Not Just Predict Behavior (opens in a new tab)
- AEA Papers and ProceedingsThe unreasonable effectiveness of algorithms (opens in a new tab)
20232 papers
Where alumni went
Alumni are not listed on the lab homepage.
Apply to MITFall 2027
MIT EECS Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- See program page
- English
- TOEFL/IELTS
- Fee
- USD 90
Confirmed on the program page.
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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.
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- The lab homepage
- Members
- Not collected
- Alumni
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Tiers are venue classifications, not lab rankings.
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