"Learning, Modeling, and Simulating Biological Systems"
We develop computational methods and AI models to understand how biological systems are organized, evolve, and respond to perturbations across molecular, cellular, spatial, and temporal scales. Our research spans statistical genomics, single-cell and spatial omics, biological representation learning, spatial-temporal modeling, and computational approaches to clinical trial design.
Chair Professor & Associate Dean for Research
Faculty of Computer Science and Artificial Intelligence
Ph.D. in Biostatistics from Johns Hopkins University (2010). Former Professor at Emory University (2010-2022). Currently Chair Professor and Associate Dean for Research at Shenzhen University of Advanced Technology.