Jun Ying

Jun Ying, Ph.D., is a Professor at the Fay W. Boozman College of Public Health, University of Arkansas for Medical Sciences (UAMS). His primary affiliation is with the Biostatistics Core at the Winthrop P. Rockefeller Cancer Institute and the Arkansas Center for Birth Defects Research and Prevention. He holds memberships in the American Statistical Association, Institute of Mathematical Statistics, and American Public Health Association.

Education:

• Ph.D. (Statistics) - University of Connecticut (2002)
• MA (Statistics) - University of Connecticut (2002)
• MA (Economics) - University of Connecticut (2002)
• MA (World Economy) - Fudan University (1989)
• BA (World Economy) - Fudan University (1986)

Research focuses on advanced statistical methodologies including predictive modeling (regression/classification trees), diagnostic testing reliability, longitudinal data analysis, and Bayesian hierarchical modeling. Current projects involve biostatistical support for cancer research, birth defect studies, and environmental health investigations.

Key collaborations include the VA Burn Pit Study Group and the CLARITY-BPA Consortium. His statistical expertise spans clinical trials (pediatric rheumatology), healthcare simulation studies, and epigenetic research involving developmental toxicants. Grant activities are closely tied to his work in public health analytics and translational medicine.

Labs/Teams: Active contributor to UAMS's Biostatistics Core and collaborator in interdisciplinary research groups addressing public health challenges through quantitative methods.