- Educational Development
Ruopeng An, Ph.D., MPP, FACE, FAAHB
Faculty Fellow for AI Innovations in Education, Office of the Provost
How Can I Help
I work on AI innovations in higher education in partnership with the Office of the Provost and the CTL.
Bio
Dr. Ruopeng An was appointed a Faculty Fellow for AI Innovations in Education by the WashU Office of the Provost in 2024. In this capacity, Dr. An collaborates with the Vice Provost for Educational Initiatives and the Center for Teaching and Learning, focusing on developing workshops and educational resources that highlight practical AI applications in teaching and learning. He also plays a crucial role in informing the university’s policies regarding the use of generative AI across the Danforth Campus and the Medical School.
Dr. Ruopeng An is an interdisciplinary researcher with a rich background in public health, policy analysis, epidemiology, and data science. His academic prowess is evidenced by his contribution to over 200 peer-reviewed journal publications, earning him recognition as one of Elsevier’s top 2% most cited scientists globally. He is a distinguished Fellow of the American College of Epidemiology and the American Academy of Health Behavior.
His research has captured the attention of prominent media outlets, including TIME, the New York Times, the Los Angeles Times, the Washington Post, Reuters, USA Today, Bloomberg, Forbes, the Atlantic, the Guardian, FOX, NPR, and CNN.
As a respected researcher in health policy and research, Professor An is an active contributor to research grants and expert panels for various government agencies, including the NIH, CDC, NSF, HHS, USDA, and the French National Research Agency. He extends his consulting expertise to a wide array of organizations, such as the WHO, CDC, HHS, RTI International, OpenAI, Abbott Laboratories, Amgen Foundation, Discovery, American Egg Board, National Cattlemen’s Beef Association, National Pork Board, and the University of Michigan.
In his teaching endeavors, Dr. An specializes in applied artificial intelligence and data science, systematic review and meta-analysis, biostatistics, and health data analysis. His commitment to education is evident in his consistently high student evaluations, placing him in the top 10% of university faculty for teaching excellence. At Washington University in St. Louis, he has established and leads the Artificial Intelligence and Big Data Analytics for Public Health Certificate program, as well as the Artificial Intelligence Applications for Health Data Advanced Learning Certificate program.