Mengbing Li

Mengbing Li

My interests lie in designing and applying statistical methods to individualized health; in particular, incorporating structural prior information into Bayesian models. My current focus is on topic models, latent class models, and reinforcement learning. I have worked...
Xinhai (Renly) Hou

Xinhai (Renly) Hou

My research focuses on deep learning in healthcare and medicine. Specifically, I am interested in self-supervised learning, computer vision, and multimodal machine learning, with a particular emphasis on disease diagnosis and prognosis. Currently, I am working on...
Hui Jiang

Hui Jiang

My research focuses on statistical genomics and computational statistics. I am interested in developing statistical and computational methods for the analysis of large-scale biological datasets generated by modern high-throughput technologies such as next-generation...
Joshua Pickard

Joshua Pickard

Joshua Pickard’s research is centered on higher-order network-based dynamical systems, the application of control theory to biological systems, and the development of mathematical models for chromatin architecture and gene regulation. Joshua’s present work...
Liyue Shen

Liyue Shen

Prof Shen’s research interest is in Biomedical AI, which lies in the interdisciplinary areas of machine learning, computer vision, signal and image processing, medical image analysis, biomedical imaging, and data science. She is particularly interested in...
Joseph N.S. Eisenberg

Joseph N.S. Eisenberg

Dr. Eisenberg is the John G. Searle endowed Chair and Professor of Epidemiology in the School of Public Health at the University of Michigan.  Dr.  Eisenberg received his PhD in Bioengineering in the joint University of California, Berkeley/University of California,...