Scholar
Jasjeet Sekhon
Google Scholar ID: FjdjShkAAAAJ
Eugene Meyer Professor of Data Science, Political Science, and Statistics, Yale University
Causal Inference
Machine Learning
Statistics
Social Science
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Homepage
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Citations & Impact
All-time
Citations
7,420
H-index
33
i10-index
62
Publications
20
Co-authors
19
list available
Contact
Email
jas@jsekhon.com
CV
Open ↗
GitHub
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Publications
2 items
Establishing Best Practices for Building Rigorous Agentic Benchmarks
2025
Cited
0
A Framework to Assess the Persuasion Risks Large Language Model Chatbots Pose to Democratic Societies
2025
Cited
0
Resume (English only)
Academic Achievements
Published multiple 2025 papers on LLM safety, agentic benchmarks, and democratic risks
Published 2024 works in top venues (CHI, Gastroenterology, CVPR, PMLR) on medical AI, including GutGPT and PriSHA
Authored theoretical statistics papers in Annals of Statistics and Probability Surveys on confidence sequences and Chernoff bounds
Published influential papers on causal inference, heterogeneous treatment effects, and transfer learning in JASA, Econometrica, and PNAS
Developed open-source software: Causal Toolbox (for matching and HTE estimation), rgenoud (for nonlinear optimization), and estCI
Background
Eugene Meyer Professor at Yale University
Chief Scientist at AIA Labs
Head of AI/ML at Bridgewater Associates
Research spans Statistics & Data Science, Political Science, and Biomedical Informatics & Data Science
Affiliated with the Institute for the Foundations of Data Science at Yale University
Co-authors
19 total
Co-author 1
Bin YU
Professor of Statistics and EECS, UC Berkeley
Rocío Titiunik
Princeton University
Co-author 4
Co-author 5
Co-author 6
Co-author 7
Co-author 8
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