Carlos Cinelli
Scholar

Carlos Cinelli

Google Scholar ID: 4fyZLIoAAAAJ
University of Washington
CausalityCausal InferenceSensitivity Analysis
Citations & Impact
All-time
Citations
2,491
 
H-index
12
 
i10-index
13
 
Publications
20
 
Co-authors
27
list available
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