Lihua Leiمشاهده پروفایل
استادیار
- Econometrics
- Causal Inference
- Conformal Inference
- +۴ مورد دیگر
Lihua Lei is an Assistant Professor of Economics at the Stanford Graduate School of Business (GSB) with a courtesy appointment as Assistant Professor of Statistics. They are also a Faculty Fellow at the Institute for Economic Policy Research (SIEPR). Dr. Lei completed their Ph.D. in Statistics at UC Berkeley under the supervision of Professors Peter Bickel and Michael Jordan, followed by postdoctoral research in the Statistics Department at Stanford University with Professor Emmanuel Candès. Dr. Lei's research focuses on the intersection of statistics and economics, with particular expertise in: Econometrics Causal Inference Conformal Inference Multiple Hypothesis Testing Network Analysis High Dimensional Statistical Inference Optimization Their publication record shows a strong trajectory in developing statistically rigorous methods with practical applications. Recent work demonstrates increasing focus on conformal inference techniques, causal effect estimation, and high-dimensional statistical problems. Dr. Lei's research bridges theoretical statistics with real-world economic applications, particularly in developing methods with formal statistical guarantees for policy evaluation and decision making. Dr. Lei has received the 2015-2016 Outstanding Graduate Student Instructor Award and has taught theoretical statistics courses at UC Berkeley, including STAT 210A and STAT 210B with Professors Michael Jordan and Martin Wainwright. As an active methodological researcher, Dr. Lei has developed several widely used R packages including adaptMT, cfcausal, dbh, and transferUQ, which implement their methodological contributions for broader application by the research community. Their ongoing work continues to influence both statistical theory and economic applications through innovative methodological developments.
