معرفی
Shuangning Li is an Assistant Professor of Econometrics and Statistics at the University of Chicago's Booth School of Business. Previously, he was a postdoctoral fellow at Harvard University's Department of Statistics and earned his Ph.D. from Stanford University's Department of Statistics, advised by Emmanuel Candès and Stefan Wager. His research focuses on causal inference, statistical methodology, and applications in econometrics and machine learning.
- Education:
- Ph.D., Statistics, Stanford University (2022)
- Bachelor of Science, University of Hong Kong
- Postdoctoral Fellowship, Harvard University
His work addresses challenges in selective inference and complex statistical models, with contributions to methodological advancements in high-dimensional data analysis. Awards include the 2022 Stanford Statistics Department Dissertation Award.
No articles or grants are explicitly listed in the provided texts.
Labs/teams: No specific lab affiliations mentioned beyond institutional roles.
