Scholar
Carlos Cinelli
Google Scholar ID: 4fyZLIoAAAAJ
University of Washington
Causality
Causal Inference
Sensitivity Analysis
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Citations & Impact
All-time
Citations
2,491
H-index
12
i10-index
13
Publications
20
Co-authors
27
list available
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Publications
3 items
Sensitivity Analysis for Causal ML: A Use Case at Booking.com
2025
Cited
0
Challenges in Statistics: A Dozen Challenges in Causality and Causal Inference
2025
Cited
0
On the minimum strength of (unobserved) covariates to overturn an insignificant result
2024
Cited
0
Resume (English only)
Academic Achievements
Paper 'Long Story Short: Omitted Variable Bias in Causal Machine Learning' received Best Paper Award at SBE 2024 in Econometrics
Publications accepted in top journals: Nature Communications, Biometrika, Bayesian Analysis, Sociological Methods and Research, COLT 2022, AISTATS 2021, Observational Studies
Developed and released sensitivity analysis software sensemakr for R/Stata and PySensemakr for Python
Funded by NSF/MMS and Royalty Research Fund
Multiple working papers and preprints on NBER and bioRxiv
Invited talks at the National Academies and Online Causal Inference Seminar
Background
Assistant Professor at the Department of Statistics, University of Washington
Data Science Fellow at the eScience Institute
Affiliate Faculty at the Center for Statistics and the Social Sciences
Research focuses on developing new causal and statistical methods for transparent and robust causal claims in empirical sciences
Particularly interested in inferential challenges faced by social and health scientists, and intersections of causality with machine learning and AI
Co-authors
27 total
Judea Pearl
Professor of Computer Science, University of California, Los Angeles
Co-author 2
Co-author 3
Co-author 4
Victor Chernozhukov
Professor, Department of Economics + Center for Statistics and Data Science, MIT;
Elias Bareinboim
Columbia University
Co-author 7
Co-author 8
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