Biography

I study empirical asset pricing, textual analysis in finance, and artificial intelligence for finance. My work examines how market information, financial disclosures, and risk are transformed into investor expectations and asset returns.

My background spans finance, economics, and computer science. This combination shapes a research approach that connects economic questions with natural language processing, domain-specific large language models, and interpretable machine learning.

I also develop applied learning resources in investment, quantitative finance, machine learning, and artificial intelligence.