"Developing statistical methods for the era of biomedical big data"
We develop innovative computational tools to decode complex biomedical big data. Our core research integrates multi-omics (bulk, single-cell, and spatial) and epigenomics to address challenges in oncology and neurology. Beyond omics, we leverage EHR and wearable sensor data to build predictive models for precision health and personalized treatment.
Distinguished 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 Distinguished Professor and Associate Dean for Research at Shenzhen University of Advanced Technology.