May Dongmei Wang
Contact
UAW 4106Georgia TechBiography
Dr. May Dongmei Wang is Wallace H. Coulter Distinguished Faculty Fellow and full professor of Biomedical Engineering, and Electrical and Computer Engineering at Georgia Institute of Technology (GT) and Emory University (EU) in Atlanta, Georgia, USA. She received BEng from Tsinghua University China and MS/PhD from GT. Dr. Wang is Director of Biomedical Big Data Initiative, Georgia Distinguished Cancer Scholar, Board of Directors of American Board of AI in Medicine, Petit Institute Faculty Fellow, Kavli Fellow, AIMBE Fellow, IAMBE Fellow, IEEE Fellow, AMIA Fellow, and ELATES Fellow. Dr. Wang works in Biomedical AI, Big Data, Health Informatics, and Metaverse for predictive, personalized, and precision health (pHealth). She delivered more than 360 invited and keynote lectures and published over 350 articles in referred journals and conference proceedings with ~20K Google Scholar citations (https://scholar.google.com/citations?user=iCx27kUAAAAJ&hl=en). Dr. Wang's research has been supported by NIH, NSF, CDC, Georgia Research Alliance, Georgia Cancer Coalition, Shriners’ Children, Children’s Health Care of Atlanta, Enduring Heart Foundation, Coulter Foundation, Imlay Foundation, Carol Ann and David Flanagan Foundation, Horizon Europe, Shepherd, Microsoft Research, HP, UCB, and Amazon.
Dr. Wang is the Senior Editor for IEEE Journal of Biomedical and Health Informatics (JBHI), an Associate Editor for IEEE Transactions on BME, and IEEE Reviews in BME. Dr. Wang has served as a panelist for NIH Study Sections (e.g. BDMA, CDMA, MSB), NSF (e.g. Smart and Connect Health, SBIB), and Brain Canada for over a decade. Dr. Wang received Georgia Tech Outstanding Faculty Mentor for Undergra Research. She also received Emory University MilliPub Award for a high-impact paper cited over 1,000 times.
Education
- Georgia Institute of Technology, PhD ECE, 2000
- Georgia Institute of Technology, MSCS, 1995
- Tsinghua University, BEng
Academic Appointments
Research Interests
Dr. Wang has established Biomedical Safe, Trustworthy, Actionable, and Responsible AI and Big Data Analytics for pHealth (Personalized, Predictive, Precise, and Participatory Health) research program at Georgia Tech for over two decades after working in industry R&D. She has not only developed multiscale dynamic systems models, but she has also conducted biomedical and health informatics (i.e. translational bioinformatics, medical imaging informatics, clinical EHR informatics, health informatics) for acute, chronic, and genomic physician-patient shared decision support. In addition, she performs metaverse for healthcare, tele-health, and bionanoinformatics. Specifically, Dr. Wang established key research goals in biomedical AI—targeting data quality control, multimodal data integration, causal inference, explainable AI, and real-time decision making—while also aiming to broaden societal impact of her work with CDC/FDA and advance pediatric engineering with the development. Aligned with Georgia Tech’s Strategic Plan commitment to leadership in AI and improving the human condition, Dr. Wang has focused on conducting biomedical safe, trustworthy, actionable, and responsible AI research; training Ph.D., M.S., and undergrad researchers; and pursuing high-impact translational scholarship that advances AI for healthcare and societal benefit.
