Summary
Ren Wang is a public health researcher and postdoctoral fellow with eight years of experience applying data-driven methods to population health and behavioral interventions. Trained at University of Maryland (PhD), Drexel (MPH), and Vermont (MPA/BS), Ren blends rigorous academic research with practical quality management experience in community behavioral health settings. At the University of Maryland Institute for Health Computing they translate AI and health informatics advances into actionable strategies for healthier communities, building on prior work as a graduate assistant and quality management specialist. Ren’s background spans policy analysis, program evaluation, staff training, and public education—skills that help bridge research insights and real-world implementation. Motivated by a conviction that collective effort improves wellbeing, Ren brings both technical depth from Berkeley AI Research connections and a community-centered, practice-oriented perspective.
8 years of coding experience
Master of Public Health - MPH, Health Policy Analysis, Master of Public Health - MPH, Health Policy Analysis at Drexel University
Master of Public Administration - MPA, Public Administration, Master of Public Administration - MPA, Public Administration at University of Vermont
Doctor of Philosophy - PhD, Public Health, Doctor of Philosophy - PhD, Public Health at University of Maryland
English, Chinese, Japanese, German, French