Lihua Lei
استادیار · High Dimensional Statistical Inference
University of California, Berkeleyمعرفی
Lihua Lei is an Assistant Professor of Economics at Stanford Graduate School of Business (GSB) and holds a courtesy appointment in the Department of Statistics at Stanford University. He earned his Ph.D. in Statistics from UC Berkeley (2019) under advisors Peter Bickel and Michael Jordan, followed by postdoctoral work at Stanford's Statistics Department with Emmanuel Candès.
- Current affiliations: Stanford GSB, Department of Statistics, and Institute for Economic Policy Research (SIEPR)
- Previous training: UC Berkeley (Ph.D.), Carnegie Mellon University (undergraduate)
His research spans causal inference, conformal inference, and high-dimensional statistics, with a focus on methodology development and theoretical guarantees. Key contributions include adaptive false discovery rate control and conformal prediction frameworks.
Recent publications appear in Annals of Statistics, Journal of the Royal Statistical Society, and SIAM Journal on Optimization. Collaborators include prominent researchers like Emmanuel Candès, Michael Jordan, and Peter Bickel.
He has received teaching awards as Graduate Student Instructor and develops R packages for methodological implementations including adaptMT and mkn.
