Areas of interest: macroeconomics, finance, applied econometrics, machine learning.

I study learning and counterfactual reasoning in dynamic economic systems, focusing on when latent, estimated, and intervention-generated information supports credible policy analysis.

I built the NEEQ Research Database, which links firm financials, private placements, investor networks, and management histories from China’s quasi-public SME equity market. The platform supports research on how financing shocks and investor capacity reshape capital allocation and firm-investor networks.