I am a Ph.D. Candidate in Accounting (minor: Finance, Econometrics) at the University of Texas at Austin and am on the 2025-2026 academic job market. I hold an M.S. in Accounting, an M.Econ. in Financial Engineering, and a B.Mgt., in Financial Management. I worked for three years as a Machine Learning Engineer at JD.COM, focusing on data-driven credit risk modeling and insurance pricing. 

I am interested in information processing with AI. My background in data science and machine learning allows me to bring practical context to my research at the intersection of technology and accounting. In my dissertation, I study a novel information friction introduced by the use of Generative AI in accounting information processing. 

My other research examines how capital market regulations distort firms’ international listing, proprietary information protection, and private placement decisions. I also study FinTech in consumer credit markets and DiD advances in accounting research, drawing on my industry experience and my minors in finance and applied econometrics.