Jangwon Choi is an Assistant Professor of Marketing at the Leavey School of Business, where he teaches undergraduate courses Principles of Marketing and Pricing Strategy. His research interests lie in 1) modeling the implications of marketing interventions, particularly in the digital space, such as promotions of digital content and online advertising, and 2) developing prescriptive insights for optimizing and customizing them. He employs various statistical and econometric methods, including Bayesian nonparametrics and Natural Language Processing. His work has been published in the Journal of Marketing Research, a premier journal in the field. Before joining Leavey, he earned a PhD in Business Administration from the Ross School of Business at the University of Michigan, an MS in Statistics from the University of Chicago, and a BBA, BA in Economics, and BS in Statistics from Seoul National University.