Dr. Banerjee has over a decade of experience as a biostatistician in biomedical collaborations, which range from randomized clinical trials, observational cohort studies, comparative effectiveness research, analysis of mHealth data (smartphones and wearables), analysis of “big data” (EHR, claims, large registries, and cohorts), statistical genetics, and cancer genomics. His methodological research interests are in multivariate statistics and its various applications including longitudinal data and repeated measures, and in high-dimensional statistical problems in variable selection and prediction. Recently, he has developed interest in the use of machine learning algorithms to elucidate digital phenotypes of individuals using mHealth data (smartphone and wearables) and to predict healthcare outcomes using "big" administrative data. He has served as the primary Biostatistician on 20+ federally funded grants. He is the Director of the Research Methods Core of the Weill Cornell ALACRITY Center (P50 MH113838) where he designs and oversees the analysis of clinical trials and leads the efforts in the development of statistical methodologies using “big” data (electronic health records and health insurance claims), data with multivariate longitudinal outcomes, data from sensors and wearables and brain imaging data (e.g. fMRI). He has served as the statistical mentor of nine fellows and junior faculty and the primary mentor for three post-doctoral scholars. He was the founding director of the MS program in Biostatistics and Data Science offered by WCMC till 2020.