Welcome! I am a Ph.D. candidate in the Marketing division of Columbia Business School.  I will be on the 2024-2025 job market. 

My research centers on the growing role and influence of the creator economy. This is a fascinating domain where the understanding of decision making for different agents hinges on both leveraging new types of data (e.g., unstructured, high-dimensional data such as videos; novel, high-frequency data covering individual-level records of viewers' consumption decisions) as well as careful modeling to reveal market insights. Across several papers, I studied the decisions of both the demand-side (viewers) and supply-side (creators and platforms) of the economy. I address topics in creator economy using diverse methodologies such as computer vision, causal inference, structural models, bayesian statistics, and applied game theory.

I previously interned as a PhD Applied Scientist in the Central Science Team of Twitch.tv in San Francisco, California, where I developed many research ideas grounded in Twitch as the empirical context. 

I received a B.Sc. in Combined Mathematics and Economics at University of British Columbia, and a M.Sc. in Econometrics and Mathematical Economics at London School of Economics and Political Science (LSE). 

Curriculum Vitae

Research Interests  

Substantive: Creator Economy, Digital Marketing, Online Video Platforms 

Methodological: Computer Vision, High-dimensional/Unstructured data (e.g., videos, images, texts), Big data, Bayesian statistics, Causal Inference, Structural Model, Applied Game Theory

Contact

980 WS3 Kravis Hall

Marketing Division, Columbia Business School

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

Email: yyang24[at]gsb[dot]columbia[dot]edu 

Github: https://github.com/yyang24