Yu Song
Curriculum Vitae
yyusong@umich.edu
About Me
I am a PhD candidate in Quantitative Marketing at the Stephen M. Ross School of Business, University of Michigan. My research centers on the economics of digitization, with a focus on platform strategies in e-commerce and content management on social media. My work covers topics such as personalization, pricing, platform experimentation, user engagement, and content generation. I use field experiments, structural modeling, causal inference, and AI/machine learning techniques to investigate consumer and supplier behaviors and inform managerial and policy decisions.
Working Papers
“Does Carrying News Increase Engagement with Non-News Content on Social Media Platforms?" with Puneet Manchanda
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Revise and Resubmit, Marketing Science
“How Effective is Suggested Pricing?: Experimental Evidence from an E-Commerce Platform" with Jessica Fong and Puneet Manchanda
Revise and Resubmit, Journal of Marketing Research
Work in Progress
“From Platform Recommendations to Consumer Search: The Role of Personalization in E-Commerce"
“Balancing Short-Run and Long-Run Effects of Personalization"
“How Does Customer Feedback Affect Product Development on Digital Media Platforms?" with Mainak Sarkar and S. Sriram
“The Value of Cross-Selling" with Puneet Manchanda
Recipient of Wharton AI & Analytics for Business Data Grant
Honors and Awards
AMA-Sheth Foundation Doctoral Consortium Fellow, 2025
NBER Digital Economics and AI Tutorial Fellow, 2025
Rackham Research Grant, University of Michigan, 2025
Milton G. and Josephine Kendrick Marketing Award, University of Michigan, 2024, 2025
Stark Award for Academic Excellence, University of Michigan, 2024
Haring Symposium Fellow, Indiana University, 2024
Thomas W. Leabo Memorial Award for Teaching Excellence, University of Michigan, 2024
Wharton AI & Analytics for Business Data Grant, 2023
Rackham Travel Grant, University of Michigan, 2023, 2024
Ross School of Business Travel Grant, University of Michigan, 2022, 2023
NBER Economics of Privacy Tutorial Fellow, 2022
Early Candidacy Award, University of Michigan, 2022
Highest Distinction, University of Michigan, 2020
Sims Prize in Economics, University of Michigan, 2020
Highest Honors in Economics, University of Michigan, 2020
Teaching
Teaching Interests
Digital Marketing, Pricing Analytics and Strategy, AI/Machine Learning in Marketing, Data Analytics, Social Media Marketing, Retail Marketing Management, Marketing ResearchInstructor
Marketing Management (Undergraduate), Spring 2023
Instructor Evaluation: 4.9/5.0
Thomas W. Leabo Memorial Award for Teaching Excellence
Teaching Assistant
Marketing Strategy for the Digital Age (MBA), Winter 2024
Empirical Models in Marketing (PhD), Fall 2023
Marketing Research and Analytics (MBA & Undergraduate), Fall 2022, Fall 2023, Fall 2024
New Product and Innovation Management (MBA), Fall 2022, Fall 2023, Fall 2024