About Me:

I am an Assistant Professor of Marketing at the Wharton School of the University of Pennsylvania. My research explores how machine learning and Bayesian statistical methodologies can solve real world marketing problems. At Wharton, I teach the class Data and Analysis for Marketing Decisions.

Interested in my research or in collaborating? Feel free to email me at ryandew@wharton.upenn.edu. You can also find me on LinkedIn and on Google Scholar.

For more about my background, check out my CV.

Research Overview:

I study how modern statistical and computational methods can enhance the capacity of marketing managers to make data-driven decisions. I am particularly interested in topics in marketing analytics, customer relationship management, and preference measurement, with a focus on understanding dynamics in consumer purchasing patterns. I am also interested in incorporating visual and textual data into marketing models, with a specific interest in understanding the interplay between the stated and visual identities of brands, and in bringing big data to bear on firms' design decisions. Methodologically, I focus on techniques from machine learning, Bayesian nonparametrics, and Bayesian econometrics.

  • Bayesian Nonparametric Customer Base Analysis with Model-based Visualizations
    Ryan Dew and Asim Ansari
    Marketing Science, 2018
    [Show Abstract] [Paper] [Code Notebook] [Replication Data] [Stan Code]

  • Modeling Dynamic Heterogeneity using Gaussian Processes
    Ryan Dew, Asim Ansari, Yang Li
    Journal of Marketing Research, Forthcoming
    [Show Abstract] [Paper]

Working Papers:
  • Letting Logos Speak: Leveraging Multiview Representation Learning for Data-Driven Logo Design
    Ryan Dew, Asim Ansari, Olivier Toubia
    [Show Abstract] [Working Paper]

Research in Progress:
  • Nonparametric Modeling of Cross-Category Preferences
    Joint work with Jeremy Fan

  • Dynamic Contextual Recommendation Systems
    Joint work with Yegor Tkachenko and Asim Ansari
    [Show Abstract]

  • Customer-Centric Data Fusion
    Joint work with Oded Netzer
    [Show Abstract]

  • Habitual Usage and Customer Relationship Management
    Joint work with Eva Ascarza, Oded Netzer, and Nachum Sicherman

  • Implications of Service Quality and Expectations on Customer Churn
    Joint work with Eva Ascarza, Oded Netzer, and Nachum Sicherman

  • Bayesian Optimization of Online Ad Bidding
    Ryan Dew, Kinshuk Jerath, Jim Prinzi
    [Show Abstract]