Ilya Morozov is an Assistant Professor of Marketing at the Kellogg School of Management, Northwestern University. In his research, he studies marketing strategy in contexts where consumers know little about existing products, do not notice new product launches, and spend little time learning about available alternatives. His most recent research combines machine learning tools, field experiments, and rigorous economic models to improve personalized product recommendations and optimize the design of online platforms.
Professor Morozov holds a Ph.D. in Quantitative Marketing from Stanford Graduate School of Business, an M.Sc. in Economics and Finance from the Center for Monetary and Financial Studies in Madrid (CEMFI), and a BA in Economics from the Higher School of Economics in Moscow.