Hi, I'm Hongxian

I am a Ph.D. candidate in Quantitative Marketing at New York University’s Leonard N. Stern School of Business. My research lies at the intersection of Generative AI, digital platforms, and market design, with a particular focus on content-creation platforms. I am grateful to be advised by my committee: Anindya Ghose (Chair), Masakazu Ishihara, Runshan Fu, Fred Feinberg, and Jason Chan.

I study how AI-related governance policies, LLM shocks, platform architecture, and AI-mediated interfaces reshape creator participation, consumer attention, demand reallocation, market expansion, and welfare. Methodologically, I use structural modeling, randomized field experiments, quasi-experimental causal inference, and analytical modeling.

In complementary research streams, I study how public policy affects consumer demand, channel choice, marketplace competition, and the distribution of market outcomes, as well as how product opacity and reference-dependent preferences shape consumer demand and firm pricing.