Lihua Lei

Assistant Professor, Economics

Lihua Lei

Assistant Professor of Economics

Assistant Professor of Statistics (by courtesy), School of Humanities and Sciences
Academic Area:

Research Statement

Lihua Lei mainly works at the intersection of econometrics and statistics. A large portion of his research focuses on empowering statistical reasoning with machine learning and augmenting machine learning with statistical reasoning. The central theme is preserving the statistical rigor of confirmatory analysis without compromising the freewheeling nature of exploratory analysis.

Research Interests

  • Econometrics and Statistics
  • Machine Learning
  • Causal Inference
  • Uncertainty Quantification
  • Large-Scale Inference
  • Networks

Academic Degrees

  • PhD in Statistics, University of California, Berkeley, 2019
  • BS in Mathematics and Statistics, Peking University, 2014
  • BA in Economics, Peking University, 2011–2014

Awards and Honors

  • Rising Star in Data Science, University of Chicago, 2021
  • Eric Lehmann Citation (Annual Dissertation Award), University of California, Berkeley, 2019
  • Citadel Fellowship, 2017–2018


Journal Articles

Emmanuel Candès, Lihua Lei, Zhimei Ren
Journal of the Royal Statistical Society. Series B: Statistical Methodology
February 2023 Vol. 85 Issue 1 Pages 24–45
Stephen Bates, Emmanuel Candès, Lihua Lei, Yaniv Romano, Matteo Sesia
Annals of Statistics
February 2023 Vol. 51 Issue 1 Pages 149–178
J. H. Loper, Lihua Lei, W. Fithian, W. Tansey
June 2022 Vol. 109 Issue 2 Pages 457–471
Tianxi Li, Lihua Lei, Sharmodeep Bhattacharyya, Koen Van den Berge, Purnamrita Sarkar, Peter J. Bickel, Elizaveta Levina
Journal of the American Statistical Association
2022 Vol. 117 Issue 538 Pages 951–968
Stephen Bates, Anastasios Angelopoulos, Lihua Lei, Jitendra Malik, Michael Jordan
Journal of the ACM
December 2021 Vol. 68 Issue 6 Pages 1–34
Lihua Lei, Peng Ding
December 2021 Vol. 108 Issue 4 Pages 815–828
Lihua Lei, Emmanuel J. Candès
Journal of the Royal Statistical Society: Series B (Statistical Methodology)
October 2021 Vol. 83 Issue 5 Pages 911–938
Lihua Lei, Aaditya Ramdas, William Fithian
June 2021 Vol. 108 Issue 2 Pages 253–267
Lihua Lei, Peter J. Bickel
June 2021 Vol. 108 Issue 2 Pages 397–412
Alexander D’Amour, Peng Ding, Avi Feller, Lihua Lei, Jasjeet Sekhon
Journal of Econometrics
April 2021 Vol. 221 Issue 2 Pages 644–654
Lihua Lei, Michael I. Jordan
SIAM Journal on Optimization
2020 Vol. 30 Issue 2
Lihua Lei, William Fithian
Journal of the Royal Statistical Society: Series B (Statistical Methodology)
September 2018 Vol. 80 Issue 4 Pages 649–679
Lihua Lei, Peter J. Bickel, Noureddine El Karoui
Probability Theory and Related Fields
2018 Vol. 172 Pages 983–1079
Lihua Lei, Cheng Ju, Jianbo Chen, Michael I. Jordan
Advances in Neural Information Processing Systems 30 (NIPS 2017)

Working Papers

Chiao-Yu Yang, Lihua Lei, Nhat Ho, William Fithian July 2022
Emmanuel Candès, Lihua Lei, Zhimei Ren April 2022
Anastasios N. Angelopoulos, Stephen Bates, Emmanuel J. Candès, Michael I. Jordan, Lihua Lei April 2022
Lihua Lei, Xiaodong Li, Xingmei Lou November 2021
Lihua Lei, Alexander D’Amour, Peng Ding, Avi Feller, Jasjeet Sekhon July 2021
Dmitry Arkhangelsky, Guido W. Imbens, Lihua Lei, Xiaoman Luo July 2021
Samuel Horváth, Lihua Lei, Peter Richtárik, Michael I. Jordan February 2020