Professor Lee’s research examines the drivers behind consumer adoption, usage, and purchase dynamics of digital goods, where he models consumer behavior using Bayesian statistics, structural econometrics, and machine learning techniques. Digital products and platforms, such as the ones produced by many Silicon Valley and NYC tech start-ups, are increasingly present in almost all consumer interactions. In such settings, understanding consumer choice and the dynamics of engagement and usage become critically important in order to acquire, serve, and retain consumers. He currently teaches Digital Marketing and Data Analytics & Modeling at both the Ithaca and Cornell Tech campuses.