Sizhu Lu

Welcome to my homepage! I am postdoctoral researcher at Stanford University, where I am very fortunate to work with Professors Lihua Lei, Guido Imbens, and Kevin Chen. Before joining Stanford, I received my Ph.D. in Statistics from the Department of Statistics at UC Berkeley, where I was very fortunate to be advised by Professor Peng Ding. I was also very fortunate to be advised by Professor Ting Ye on some projects. Previously, I received my B.S. in Mathematics and Applied Mathematics and B.A. in Finance from Peking University. I also spent time working in the world of finance and real estate after college and received my Ph.D. in Business Administration from Haas School of Business, UC Berkeley, where I was very fortunate to be advised by Professor Amir Kermani. Here are links to my Google Scholar profile and GitHub. I will join the Department of Statistics & Data Science at Carnegie Mellon University as a tenure-track Assistant Professor in Fall 2027.

Professional Service

Reviewer

Journal of the American Statistical Association, Annals of Statistics, Biometrika, Journal of the Royal Statistical Society, Series B, Journal of Causal Inference, Statistica Sinica, Journal of Educational and Behavioral Statistics, Biometrical Journal, Biostatistics, Journal of Computational and Graphical Statistics, Sociological Methods and Research, Social Networks.

Awards

• ASA Student Paper Award in the Biopharmaceutical Section, 2026

• NSF Travel Award for the ICSA 2026 Applied Statistics Symposium, 2026

• KAG Travel Grant, UC Berkeley, 2026

• Conference Travel Grant Award by UC Berkeley, 2024, 2026

• JSM Students Travel Award, San Francisco Bay Area Chapter of American Statistical Association, 2024

• Society for Political Methodology Polmeth Meeting Travel Award, 2024

• Outstanding Graduate Student Instructor, UC Berkeley, 2023

• Outstanding Graduate of Beijing (Top 1%), 2017