CANCELLED: Join us for a special evening with Sanjog Misra, Charles H. Kellstadt Professor of Marketing and Neubauer Family Faculty Fellow at Chicago Booth for his talk on 'Personalisation at Scale: Scaling Machine Learning Applications to the Individual Level'.
Event Details
The notion of tailoring marketing to individual customers has been on our mind for a while. With the advent of machine learning, ubiquitous data and scalable technology we can finally begin to deliver on this promise. In this talk Professor Misra will describe multiple projects that develop, implement and evaluate personalized marketing interventions.
Program
6:00pm Registration and networking reception
6:45pm Presentation by Professor Sanjog Misra
7:15pm Moderated Q&A with Heather Wade, '18 (EXP-23)
8:00pm End of event
Speaker Profiles
Sanjog Misra (Speaker)
Charles H. Kellstadt Professor of Marketing and Neubauer Family Faculty Fellow, Chicago Booth
Sanjog Misra is the Charles H. Kellstadt Professor of Marketing at the University of Chicago Booth School of Business. His research focuses on the use of machine learning, deep learning and structural econometric methods to study consumer and firm decisions. In particular, his research involves building data-driven models aimed at understanding how consumers make choices and investigating firm decisions pertaining to pricing, targeting and salesforce management issues. More broadly, Professor Misra is interested in the development of scalable algorithms, calibrated on large-scale data, and the implmententation of such algorithms in real world decision evironments.
Professor Misra currently serves as Co-Editor of Quantitative Marketing and Economics and as Associate Editor at Management Science and the Journal of Business and Economic Statistics. He has also served as an Associate Editor at Marketing Science, Quantitative Marketing and Economics, the International Journal of Research in Marketing and the Journal of Marketing Research. Professor Misra is actively involved in partnering with firms in his research and has worked on various projects with companies such as Oath, Verizon, Eli Lilly, Adventis, Mercer Consulting, Sprint, MGM, Bausch & Lomb, Xerox Corporation, Ziprecruiter and Lucent Technologies with the aim of helping them design efficient, analytics-based, management systems that result in better decisions. He currently serves as an advisor to several startups in the marketing technology, measurement and AI space. At Booth Professor Misra teaches courses on Algorithmic Marketing. These courses bring his practical and research expertise in the algorithmic marketing domain into the classroom. He is hopeful that these classes will get students ready for the next evolution of marketing that he believes is already underway.
Prior to joining Booth, Misra was Professor of Marketing at UCLA Anderson School of Management and Professor at the Simon School of Business at the University of Rochester. In addition he has been visiting faculty at the Johnson School of Management at Cornell University and the Graduate School of Business at Stanford University.