Jianing Wang is an Assistant Investigator at MGH Biostatistics. Her methodological research centers around advancing indirect methods for hidden population size estimation and spatial and hierarchical modeling approaches for disease characterization and population dynamic prediction. In addition to her extensive collaborative experience in HIV, Hep C, and substance use disorder outcome research, she has been developing an innovative statistical framework for knowledge transfer between large-scale health surveillance systems, as well as the approaches pertinent to neurological disease investigations. Currently, she is involved in projects including HEALEY ALS platform trials, the NIH HEAL Initiative, and the development of a novel community-based high-performance surveillance network for substance misuse.
Dr. Wang completed her PhD in Biostatistics from the Boston University School of Public Health and her MS in Applied Statistics from Boston University.