BIO

Ryan Dew is an Assistant Professor of Marketing at the Wharton School of the University of Pennsylvania. His research explores how machine learning and Bayesian statistical methodologies can solve real world marketing problems, and enhance the capacity of marketing managers to make data-driven decisions. Methodologically, he uses techniques from machine learning, Bayesian nonparametrics, and Bayesian econometrics.