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Ryan Dew is an Assistant Professor in the Marketing Department at the Wharton School of the University of Pennsylvania, where he specializes in marketing analytics and decision support. His research employs machine learning and Bayesian statistical methodologies to address applied marketing issues, enabling marketers to enhance their decision-making capabilities. He focuses on the implementation of advanced data-driven techniques, particularly Bayesian nonparametrics and econometrics, to solve complex marketing problems. Professor Dew is recognized for his innovative approaches to preference measurement and data-driven design, helping businesses effectively leverage data in making marketing decisions. He actively teaches courses in data analytics in marketing, guiding students through hands-on experiences with modern analytical tools and real-world applications. His scholarly work includes publications on various facets of influencer marketing and marketing research, substantiating his role as a key figure in contemporary marketing academia.
Wharton Doctoral programs cover fields like Finance, Marketing, Management, and Operations, Information and Decisions.