Dr. Wang is a computational biologist trained at the Chinese Academy of Sciences (Beijing Institute of Genomics, 2009), Baylor College of Medicine (2014) and the University of Chicago (2020). His work spans a range of subjects at the interface of genetics, statistics, machine learning, bioinformatics, and neurological sciences. His current research focuses on the study of pathogenesis of neurological disorders, in particular Alzheimer’s disease and multiple sclerosis, through integrating large-scale multi-omics as well as medical data in cohorts of diverse ancestry. He is most interested in research problems that motivate development and/or applications of new computational techniques. His computational methods work include approaches for rare variant linkage and association studies, multi-variate association analysis, statistical fine mapping in association studies, and disease sub-typing and onset prediction.