Education
- PhD (2024) City University of Hong Kong (Data Science)
- BS (2020) Southern University of Science and Technology (Statistics)
Research
My research centers on financial technology and the application of machine learning techniques. I am particularly interested in utilizing tools such as natural language processing (NLP), large language models (LLMs), computer vision, and deep learning to tackle complex challenges in the financial sector, particularly those involving large and multi-modal datasets.
Honors and Awards
Outstanding Academic Performance Award, City University of Hong Kong. 2023.
Selected Publications
Gopal, R. D., Qiao, X., Strub, M. S., & Yang, Z. Gaining a Seat at the Table: Enhancing the Attractiveness of Online Lending for Institutional Investors. Forthcoming at Information Systems Research.
Courses
FA 590 Statistical Learning in Finance
FE 535 Introduction to Financial Risk Management
FE 535 Introduction to Financial Risk Management