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Ryan Dew is an Assistant Professor of Marketing at the Wharton School of the University of Pennsylvania. His research focuses on marketing analytics, exploring machine learning and Bayesian statistical methodologies to address real-world marketing challenges. He aims to improve the capacity of marketing managers to make informed, data-driven decisions. Dew employs a variety of techniques, including machine learning, Bayesian nonparametrics, and Bayesian econometrics, to advance understanding in the field of marketing and enhance decision support systems for practitioners.
Wharton Doctoral programs cover fields like Finance, Marketing, Management, and Operations, Information and Decisions.