Welcome to Jin-Hong's Homepage
I am a current PhD candidate in Statistics & Machine Learning at Carnegie Mellon University and fortunate to be advised by Professor Kathryn Roeder and Professor Larry Wasserman. I obtained my Master's degree in statistics at the University of Chicago, advised by Professor Lek-Heng Lim. I have also worked with Professor Jingshu Wang. Before my graduate study, I received my bachelor's degree in statistics from the Department of Mathematics, Sun Yat-sen University, China.
My current research interests include statistical methodology for
- Causal inference
- Interpretable machine learning
- Statistical network analysis
- Overparametrized learning
as well as applications in
- single-cell multiomics
- CRISPR perturbation analysis
- Quantitative Finance
📢 Announcement: I will be joining The University of Hong Kong (HKU) in Fall 2025 as an assistant professor, jointly hosted by the Institute of Data Science (IDS) and the Department of Statistics and Actuarial Science (SAAS).
See the Prospective Students page for more information about PhD student recruitment in Fall 2026.
See the Prospective Students page for more information about PhD student recruitment in Fall 2026.