Several areas that I work on involve measuring information processing costs of investors, improving the interpretation of numerical data with textual information, and understanding financial information quality. With recent developments in artificial intelligence and large language models, my recent research focuses on how and whether these new technologies help investors to better process complex financial information. To view my research in accounting/finance, please visit here.

Designing how people process information is inherently complex. Oftentimes, it is challenging to find an appropriate tool kit to empirically test theories in financial economics research. In this context, I am also interested in developing these tool kits by myself (and potentially applying them to my accounting/finance research). To view my research in natural language processing, please visit here.