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.
Zhou Fan
2013 HERTZ FELLOW
MAKING HISTORY
EDUCATION
Graduate Studies
Stanford University
Statistics
Graduate Thesis
Eigenvalues in Multivariate Random Effects Models
Undergraduate Studies
Harvard University
SELECTED AWARDS
2010, Churchill Scholar, Winston Churchill Foundation of U.S.
IMPACT STORY
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READ MOREGET IN TOUCH WITH Zhou Fan
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