About


Hello, welcome to my website! I'm Na, a Ph.D. candidate in Economics at Cornell University, where I study how digital platforms and new technologies are reshaping the way people and businesses interact in Information Systems. My research focuses on digital platforms, with particular attention to multi-sided ecosystems, digital advertising, and the dynamics of User- and AI-generated Content (UGC & AIGC). Methodologically, I employ empirical strategies using large-scale digital data, including causal inference, econometrics, and structural analysis, and I also operate my own platform for first-hand resources in experiments. Currently, I am a visiting research fellow at Tsinghua University, working at the intersection of digitization, industrial policy and innovation management in UGC & AIGC.

Research Interests

Fields & Contexts: Information Systems, Multi-sided Digital Platforms, AdTech, User- & AI-generated Content (UGC & AIGC).

Methodologies: Empirical Studies, Econometrics, Causal Inference, Structural Modeling, and (Lab/Field/Online) Experiments.