I am a Ph.D. candidate in Accounting at the University of Texas at Austin (with minors in Finance and Econometrics) and am on the 2025-2026 academic job market. Prior to academia, I spent three years as a Machine Learning Engineer at JD.COM, where I developed deep learning models for credit risk assessment and insurance pricing. 

I am interested in information processing with Artificial Intelligence. My background in data science and machine learning enables me to explore the intersection of technology and accounting. In my dissertation, I investigate accounting hallucinations of large language models, developing measures for this novel form of information friction and studying how accounting information contributes to its emergence.

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 causal methods in accounting research, drawing on my minors in Finance and Econometrics and my industry experience.