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Chao Gao is a Professor of Statistics at the University of Chicago. He graduated from Yale University and has been advised by Harry Zhou. His main research interests focus on nonparametric high-dimensional statistics, network analysis, Bayesian theory, and robust statistics. He has served as an Associate Editor for several prestigious journals including Annals of Statistics and Bernoulli. His academic contributions include various influential papers covering topics such as robust estimation, confidence prediction sets, and network analysis. He has also interned at Microsoft Research and was a visiting student at Leiden University. His work has greatly impacted the field of statistical theory and applications, showcasing novel methodologies for high-dimensional data analysis and inference.
University of Chicago • Chicago, IL
Conducts research and teaches courses in Statistics.
Annals of Statistics • Remote
Responsible for managing the peer review process for submitted manuscripts.
University of Chicago • Chicago, IL
Oversees academic projects and collaborations.
Microsoft Research • Redmond, WA
Assisted in statistical research and data analysis.
Leiden University • Leiden, Netherlands
Engaged in collaborative research under Professor Aad van der Vaart.
Department of Philosophy