He received his PhD in Marketing from the Wharton School at the University of Pennsylvania in 2013. His research focuses on predicting customer behavior, understanding its drivers, and examining how firms actively manage their customer relationships through interactive marketing. The quantitative methods he uses are primarily Bayesian statistics, machine learning, dynamic programming, and field experiments.