Yuan Yuan
yuany3@andrew.cmu.edu
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I am a Marketing Ph.D. student at Tepper School of Business, Carnegie Mellon University.
Prior to joining CMU, I received my bachelor’s degree from UC Berkeley and finished my pre-doc at Stanford University.
My current research interests are in digital marketing, technology and innovation, and the intersection of machine learning and economics, including causal inference, applying structured economic models to unstructured data, and interpretable machine learning.
Education
Tepper School of Business, Carnegie Mellon University
Ph.D. in Marketing (Aug 2021-)
Tepper School of Business, Carnegie Mellon University
Master of Science in Marketing (May 2024)
Stanford University
Pre-doc Research Fellow in Economics (Sep 2019 – June 2021)
University of California, Berkeley
Bachelor of Arts, Majors in Applied Mathematics, and Computer Science (December 2018)
Papers
Smiles in Profiles: Improving Fairness and Efficiency Using Estimates of User Preferences in Online Marketplaces, 2023 with Susan Athey, Dean Karlan, and Emil Palikot. link
R&R at Management Science
Gender and Racial Price Disparities in the NFT Marketplace, 2024. with Xiao Liu, Shunyuan Zhang, and Kannan Srinivasan. link
[Forthcoming] Accepted at International Journal of Research in Marketing (IJRM)
Clean Up Your Act: Impact of Self-Disclosure Regulation on Live Streaming, 2024. with Nikhil Malik, Wen Wang, and Kannan Srinivasan
Work in progress
Award
Gerard Tellis Award for Excellence in Research at Presented at AIM , 2024
William Larimer Mellon Fellowship, 2021-present
Dean’s Research Fund, Tepper School of Business, 2024
Invited Conference Presentations and Talks
AIM (Artificial Intelligence in Management) conference, University of Southern California, Los Angeles, CA, 2024
INFORMS Marketing Science Conference, University of Miami, 2023
Conference on Digital Experimentation (CODE), Boston, MA, 2023
AIML (Conference on Artificial Intelligence, Machine Learning, and Business Analytics), Temple University, Philadelphia, PA, 2023
Experimentation and Causal Inference in the Tech Sector Workshop, Stanford University, 2023
International Conference on Crypto-Marketing, Columbia University, 2022
Berkeley Artificial Intelligence Research Workshop, March 2019
Berkeley Artificial Intelligence Research Workshop, November 2018
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