Samprit Banerjee, PhD, MStat, is an Assistant Professor of Biostatistics in Healthcare Policy and Research at Weill Cornell Medical College and an Assistant Professor at Weill Cornell Graduate School of Medical Sciences. He received a bachelor’s and master’s degree in statistics from Indian Statistical Institute, Kolkata, India and obtained a PhD in Biostatistics from the University of Alabama at Birmingham.Dr. Banerjee’s research interest in statistical methodology is primarily in Bayesian methods for high dimensional data. He has developed a Bayesian multivariate regression framework performing variable selection on a large number of independent variables with applications to statistical genetics (QTL mapping). He has also worked on the estimation of high dimensional covariance matrices. His other interests include Markov Chain Monte Carlo methods, Bayesian and non-Bayesian variable selection, generalized linear models and mixed models and categorical data analysis.