Samuel Kou is Professor of Statistics at Harvard University. He received a bachelor's degree in computational mathematics from Peking University in 1997, followed by a Ph.D. in statistics from Stanford University in 2001. After completing his Ph.D., he joined Harvard University as an Assistant Professor of Statistics. He was promoted to a full professor in 2008.
His research interests include stochastic inference in biophysics, chemistry and biology; protein folding; big data analytics; digital disease tracking; Bayesian inference for stochastic models; nonparametric statistical methods; model selection and empirical Bayes methods; and Monte Carlo methods.
He is the recipient of the COPSS (Committee of Presidents of Statistical Societies) Presidents' Award; the Guggenheim Fellowship; a US National Science Foundation CAREER Award; the Institute of Mathematical Statistics Richard Tweedie Award; the Raymond J. Carroll Young Investigator Award; and the American Statistical Association Outstanding Statistical Application Award. He is an elected Fellow of the American Statistical Association, an elected member of the International Statistical Institute, and an elected Fellow and a Medallion Lecturer of the Institute of Mathematical Statistics.