Shuangning Li
Scholar

Shuangning Li

Google Scholar ID: KjZluVoAAAAJ
University of Chicago
StatisticsCausal InferenceSelective InferenceReinforcement Learning
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Citations & Impact
All-time
Citations
419
 
H-index
9
 
i10-index
8
 
Publications
17
 
Co-authors
18
list available
Contact
CVOpen ↗TwitterOpen ↗GitHubOpen ↗
Publications
4 items
Overcoming the Incentive Collapse Paradox
2026
Cited
0
Covariate Adjustment Cannot Hurt: Treatment Effect Estimation under Interference with Low-Order Outcome Interactions
2025
Cited
0
Choosing the Better Bandit Algorithm under Data Sharing: When Do A/B Experiments Work?
2025
Cited
0
Optimal Targeting in Dynamic Systems
2025
Cited
0
Resume (English only)
Research Experience
  • Postdoctoral Fellow in the Department of Statistics at Harvard University; Assistant Professor at Chicago Booth
Education
  • Ph.D. in Statistics from Stanford University (Advisors: Emmanuel Candès, Stefan Wager); Bachelor of Science from the University of Hong Kong
Background
  • Research Interests: Econometrics and Statistics; Brief Introduction: Assistant Professor of Econometrics and Statistics at Chicago Booth.
Miscellany
  • Email: shuangning.li@chicagobooth.edu; Address: 5807 S Woodlawn Ave, Chicago, IL 60637
Co-authors
18 total
Stefan Wager
Stefan Wager
Graduate School of Business, Stanford University
Yuchen Hu
Yuchen Hu
Stanford University
Chiara Sabatti
Chiara Sabatti
Professor of Biomedical Data Science and of Statistics, Stanford University
Matteo Sesia
Matteo Sesia
University of Southern California
Emmanuel Candes
Emmanuel Candes
The Simons Chair in Mathematics and Statistics, Stanford University
Daisy Yi Ding
Daisy Yi Ding
Stanford University
Robert Tibshirani
Robert Tibshirani
Professor of Biomedical Data Sciences, and of Statistics, Stanford University
Balasubramanian Narasimhan
Balasubramanian Narasimhan
Senior Research Scientist, Department of Biomedical Data Sciences and Department of Statistics