Harrison Zhou, newly named as the Henry Ford II Professor of Statistics and Data Science, conducts his research on asymptotic decision theory, high dimensional statistics, large covariance matrices estimation, Bayesian nonparametrics, and network analysis. After earning a Ph.D. in mathematics at Cornell University, Zhou began his teaching career as an assistant professor at Yale in 2004. Prior to his new appointment, he was a full professor of statistics. He currently serves as chair of the Department of Statistics and Data Science. Zhou’s research has been supported by grants from the National Science Foundation, the National Institutes of Health, and the National Cancer Institute. The Yale professor has been recognized for his scholarship with numerous awards and honors. In 2009, he was given the Noether Young Researcher Scholar Award from the American Statistical Association, followed a year later by the Tweedie Award from the Institute of Mathematical Statistics. He is the recipient of a CAREER Award from the National Science Foundation. His teaching at Yale was recognized in 2018 with the awarding of the Lex Hixon ’63 Prize for Teaching Excellence in the Social Sciences. Zhou is a widely published contributor to peer-reviewed journals, including the Annals of Statistics, the Journal of the American Statistical Association, and the Journal of Machine Learning Research, among other publications. He serves as associate editor for Bernoulli, the Annals of Statistics, and Statistical Science. He has been selected for review panels by the National Science Foundation and the Department of Veterans Affairs. Zhou has been an invited lecturer at universities and professional organizations throughout the United States and Europe, as well as in China and South America.