Welcome to Jin-Hong's Homepage

Dr. Jin-Hong Du is an HKU-100 Assistant Professor at the University of Hong Kong, beginning in Fall 2025. He holds joint appointments in the Musketeers Foundation Institute of Data Science (IDS) and the Department of Statistics and Actuarial Science (SAAS).

He earned his Ph.D. in Statistics and Machine Learning from Carnegie Mellon University, advised by Professor Kathryn Roeder and Professor Larry Wasserman. Previously, he obtained an M.S. in Statistics from the University of Chicago, advised by Professor Lek-Heng Lim, and a B.S. in Statistics from Sun Yat-sen University.

His 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