Welcome! I am currently a postdoctoral researcher in Meta's Central Applied Science Team. In the Summer of 2026, I will be joining the Chinese University of Hong Kong as an Assistant Professor of Marketing. 

My research focuses on combining machine learning, generative AI, statistical/econometric methods and insights from behavioral science to tackle important questions in creative design and digital markets. This is a fascinating domain in which generating actionable insights about content design, incentives and the behaviors of different agents (e.g., viewers, creators, advertisers, platforms and regulators) requires both new types of data and different quantitative methods. My work  integrate both to generate data-driven insights that inform managerial decision-making. 

My dissertation was honored at the ISMS Doctoral Dissertation Proposal Competition and ASA Marketing Section Doctoral Dissertation Research Award Competition.  

Research Interests  

Substantive: creative design, digital markets, creator economy 

Methodological: statistical machine learning, high-dimensional/unstructured data, generative AI, causal inference, structural models, experiments 

Contact

980 WS3 Kravis Hall

Marketing Division, Columbia Business School

665 West 130th Street, New York, NY, 10027 

Email: yyang24@gsb.columbia.edu 

Github: https://github.com/yyang24