Ryan Dew

Ryan Dew
  • Assistant Professor of Marketing

Contact Information

  • office Address:

    755 Jon M. Huntsman Hall
    3730 Walnut Street
    University of Pennsylvania
    Philadelphia, PA 19104

Research Interests: marketing analytics, data-driven design, decision support, preference measurement

Links: Personal Website

Overview

Ryan Dew is an Assistant Professor of Marketing at the Wharton School of the University of Pennsylvania. His research explores how machine learning and Bayesian statistical methodologies can solve real world marketing problems, and enhance the capacity of marketing managers to make data-driven decisions. Methodologically, he uses techniques from machine learning, Bayesian nonparametrics, and Bayesian econometrics.

For more about Professor Dew, please visit his website: www.rtdew.com

 

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Teaching

Past Courses

  • MKTG212 - DATA & ANLZ FOR MKTG DEC

    Firms have access to detailed data of customers and past marketing actions. Such data may include in-store and online customer transactions, customer surveys as well as prices and advertising. Using real-world applications from various industries, the goal of the course is to familiarize students with several types of managerial problems as well as data sources and techniques, commonly employed in making effective marketing decisions. The course would involve formulating critical managerial problems, developing relevant hypotheses, analyzing data and, most importantly, drawing inferences and telling convincing narratives, with a view of yielding actionable results.

  • MKTG399 - INDEPENDENT STUDY

  • MKTG995 - DISSERTATION

In the News

Knowledge @ Wharton

Activity

In the News

Why a Data-driven Approach Can Enhance the Art of Logo Design

Research from Wharton’s Ryan Dew uses machine learning to help companies develop logos that are consistent with their brand identities.

Knowledge @ Wharton - 2018/10/11
All News