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 research focuses on addressing statistical and machine learning challenges inherent in single-cell genomics and proteomics, including efforts in data integration and imputation, post-imputation inference, and confounder adjustment. Additionally, I engage in interdisciplinary collaborations spanning finance, medicine, and industrial data center management. Theoretically, I am also interested in overparameterized ensemble learning, exploring its implications and applications across various fields.