BIO

Sanjog Misra is the Charles H. Kellstadt Professor of Marketing at the University of Chicago Booth School of Business. His research focuses on the application of machine learning, deep learning, and structural econometric methods to understand consumer behaviour and firm decision-making. His work centres on building data-driven models that explain how consumers make choices and how firms optimise pricing, targeting, and salesforce strategies in complex markets.

His research has been published in leading journals including Econometrica, Journal of Marketing Research, Journal of Political Economy, Marketing Science, Quantitative Marketing and Economics, and the Journal of Law and Economics, among others. He has held several editorial leadership roles, including serving as Co-Editor of Quantitative Marketing and Economics and as Area Editor at Management Science, Marketing Science, the Journal of Business and Economic Statistics, the International Journal of Research in Marketing, and the Journal of Marketing Research.

Sanjog Misra works closely with industry partners and has advised organisations such as TransUnion, Oath, Verizon, Eli Lilly, Mercer Consulting, Sprint, MGM, Bausch & Lomb, Xerox Corporation, and ZipRecruiter. He currently advises startups in the marketing technology, analytics, and artificial intelligence space, helping them design scalable, analytics-driven management systems. At Chicago Booth, he teaches courses in Algorithmic Marketing, integrating research insights with real-world applications to prepare students for the next evolution of the marketing function.

Prior to joining Chicago Booth, he held faculty positions at UCLA Anderson School of Management and the Simon School of Business at the University of Rochester, and has served as visiting faculty at Cornell University and Stanford University.