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Sanjog Misra is the Charles H. Kellstadt Distinguished Service Professor of Marketing at the University of Chicago Booth School of Business. His research focuses on the application of machine learning and deep learning alongside structural econometric methods to study consumer and firm decisions. He builds data-driven models aimed at understanding consumer choice behavior and investigating firm strategies concerning pricing and salesforce management. His work emphasizes the development of scalable algorithms that are calibrated on large-scale data and can be implemented in real-world decision-making environments. Misra has published extensively in prestigious journals such as Econometrica, Journal of Marketing Research, and Marketing Science. He has also served as co-editor at several journals and has collaborated with companies like Transunion, Oath, and Eli Lilly to enhance marketing systems through analytics. Currently, he teaches courses on Algorithmic Marketing that leverage his research insights to prepare students for the evolving landscape of marketing.
University of Chicago Booth School of Business • Chicago, IL
Distinguished Professor focusing on Marketing and Applied AI.
UCLA Anderson School of Management • Los Angeles, CA
Led research and teaching in Marketing.
Simon Business School, University of Rochester • Rochester, NY
Engaged in academic research and student education.
Johnson School of Management, Cornell University • Ithaca, NY
Conducted advanced teaching and research.
Graduate School of Business, Stanford University • Stanford, CA
Participated in research collaborations and teaching.
The doctoral program at Booth is organized into 'dissertation areas' which include Accounting, Behavioral Science, Econometrics and Statistics, Finance, Marketing, and Operations Management.