معرفی
Keer Yang is an Assistant Professor at the University of California, Davis, Department of Finance. His research explores the intersection of FinTech, Machine Learning, Financial Intermediaries, and Corporate Finance, focusing on how technology can improve financial market efficiency and inclusivity.
Education
- Ph.D., Finance, University of Minnesota, 2022
- B.S., Mathematics and Applied Mathematics, Zhejiang University, China
- M.Res., Economic Theory and Econometrics, Toulouse School of Economics, France
Yang’s work investigates FinTech’s role in reshaping financial markets. He employs machine learning for causal inference and big data analysis to address gaps in traditional finance research, particularly regarding trust dynamics and racial disparities in lending. His publications include studies on trust as an entry barrier in FinTech and racial barriers in small business lending.
His research highlights the transformative potential of machine learning in corporate finance, emphasizing equitable financial systems through technological innovation. No scientific awards were explicitly mentioned in the provided text.
