Hi, I'm Hongxian

I am a Ph.D. candidate at New York University’s Leonard N. Stern School of Business, expecting to graduate in May 2027. My research examines how generative AI, large language models, and broader technological change reshape platform design and user behavior. I focus on content-creation platforms, where changes in how people find and consume content also affect the incentives of those who create it.

I study how AI policies influence creators’ willingness to contribute, how AI search changes consumer search and demand for creator content, and how community design shapes participation and responses to technological disruption. I combine structural modeling, randomized field experiments, quasi-experimental causal inference, machine learning, and analytical modeling to connect platform decisions to attention, demand, and creator incentives.

Complementary projects examine how public policy affects consumer demand, channel choice, and marketplace outcomes, and how product uncertainty shapes consumer choice and firm pricing.

I am grateful to my dissertation committee: Anindya Ghose (Chair), Jason Chan, Runshan Fu, Masakazu Ishihara, and Fred Feinberg.