Professor Alan L. Montgomery received his M.B.A. and Ph.D. in Business from the University of Chicago in 1994.  Since 1999 he has been a professor of marketing at the Tepper School of Business, Carnegie Mellon University, and has taught courses in eMarketing, Pricing, Business Analytics and Data Science.  Additionally, he is a faculty in the Machine Learning Department in the School of Computer Science at Carnegie Mellon University.  Previously, he was an assistant professor of marketing at the Wharton School of the University of Pennsylvania.

His fields of interest include electronic commerce, the analysis of clickstream data, micro-marketing, pricing, and data mining.  Professor Montgomery's research on electronic commerce has recently focused on how to predict browsing patterns and purchase conversion for online consumers using clickstream data.  Some current research projects include user profiling, the design of shopbots, creating self-organizing marketplaces with peer-to-peer systems, customization of pricing strategies to micro-markets, automated approaches to the analysis of sales data, new methodologies for estimating consumer price sensitivity, and forecasting time series using non-linear models.