Tanujit Dey, PhD, is a Lead Investigator at the Center for Surgery and Public Health and an assistant professor at Harvard Medical School. Dr. Dey is a graduate of the University of Kalyani (West Bengal, India) and received a PhD in statistics from Case Western Reserve University. Most recently, Dr. Dey was an associate staff member in the Department of Quantitative Health Sciences at the Cleveland Clinic Lerner Research Institute and also served as the head of Cleveland Clinic Lerner Research Institute Biostatistics Core. Prior to joining Cleveland Clinic, he spent six years at the College of William & Mary as a tenured associate professor of statistics in the Department of Mathematics. Dr. Dey also served as a visiting scholar at the Center for Stochastic and Chaotic Processes in Science and Technology, Department of Mathematics, Applied Mathematics and Statistics at Case Western Reserve University. He serves as associate editor for the Journal of Applied Probability and Statistics and Journal of Statistical Computation and Simulation and also served on the Regional Advisory Board of the Eastern North American Region (ENAR) of the International Biometric Society (IBS). Dr. Dey’s methodological research interests include: Bayesian statistics; big data; causal inference; data mining; ensembles; environmental spatial statistics; high dimensional variable and model selection; longitudinal data analysis; machine learning; mediation analysis; reliability theory; and survival analysis.