Zhou Fan, PhD

Fellowship Awarded 2013
Zhou Fan

Zhou Fan is an Assistant Professor in the Department of Statistics and Data Science at Yale University. He is broadly interested in statistical theory and methodology and related areas of probability and machine learning, with specific expertise in random matrix theory, high dimensional and multivariate statistics, random graphs and networks, and discrete algorithms. Zhou spends part of his time working in statistical genetics at the Broad Institute. He completed his Ph.D. in Statistics at Stanford University, and formerly worked at D. E. Shaw Research where he developed statistical and software tools for molecular dynamics simulations of protein molecules.

Graduate Studies

Stanford University
Eigenvalues in Multivariate Random Effects Models


2010, Churchill Scholar, Winston Churchill Foundation of U.S.