Academics

Kamel Jedidi is the John Howard Professor of Business at Columbia Business School, New York.  He holds a bachelor’s degree in Economics from University of Tunis and Master and Ph.D. degrees in Marketing and Statistics from the Wharton School, University of Pennsylvania.  Dr. Jedidi has extensively published in leading marketing and statistical journals. 

Professor Ansari's research addresses customer relationship management, e-commerce personalization and targeting, social network modeling, and Bayesian models of consumer actions. He is currently working on the use of machine learning methods for Big-Data settings in marketing. Prior to joining Columbia, Professor Ansari was at the University of British Columbia, Canada. He has several publications in leading journals in marketing and allied fields.

Professor Netzer's expertise centers on one of the major business challenges of the data-rich environment: developing quantitative methods that leverage data to gain a deeper understanding of customer behavior and guide firms' decisions. He focuses primarily on building statistical and econometric models to measure consumer preferences and understand how customer choices change over time, and across contexts. Most notably, he has developed a framework for managing firms' customer bases through dynamic segmentation.

Kinshuk Jerath is the Arthur F. Burns Chair of Free and Competitive Enterprise, Professor of Business in the Marketing division at Columbia Business School. He is also the Chair of the Marketing Division. His research is in technology-enabled marketing, primarily in online advertising, online and offline retailing, sales force management and customer management. His research has appeared in top-tier marketing and operations management journals, such as Marketing Science, Journal of Marketing Research, Management Science and Operations Research.

Hortense Fong uses machine learning, econometric, and experimental methods to study how emotions impact consumer behavior. A distinguishing feature of her interests involves going beyond ML’s use in prediction to study how to incorporate domain-specific theoretic and managerial knowledge into ML systems and make them more interpretable. She also has a broader interest in questions at the interface of marketing and society (e.g., fairness).
 

Professor Pham’s business expertise covers the areas of marketing strategy and management, branding, customer and consumer psychology, trademark psychology, marketing communication, and executive decision making. His most recent research focuses on the role of feelings, emotions and motivation in consumers’ and managers’ judgments and decisions.