معرفی
Jihyoun Jeon, PhD, MS is an Associate Research Scientist in the Department of Epidemiology at the University of Michigan School of Public Health with expertise in developing statistical models to evaluate cancer risk factors and improve outcomes. She serves as a key investigator for the Cancer Intervention and Surveillance Modeling Network Lung Working Group (CISNET LWG) since 2008 and co-Lead of the Center for the Assessment of Tobacco Regulations (CAsToR) Data Analysis and Dissemination Core funded by FDA-NIH TCORS 2.0.
Dr. Jeon earned her PhD and MS in Biostatistics from the University of Washington (2007, 2005) following earlier studies at Ewha Womans University in South Korea where she received an MS (1998) and BS (1996). Her educational background bridges statistical methodology with epidemiological applications.
Her research focuses on cancer risk prediction modeling, particularly for lung and colorectal cancers, incorporating environmental exposures, biological markers, and genetic factors. She develops innovative computational tools to simulate cancer natural history and assess screening efficacy. Her work in tobacco regulatory science examines how tobacco control policies impact smoking patterns and disease outcomes across diverse populations. Dr. Jeon's projects often address health disparities by analyzing how cancer risks and screening benefits vary by race, socioeconomic status, and birth cohort.
Analysis of her recent publications reveals a strong emphasis on optimizing lung cancer screening strategies through personalized approaches that consider comorbidities and smoking history. Her modeling work increasingly incorporates birth cohort analysis to understand long-term trends in tobacco use and cancer incidence across different demographic groups. The methodological rigor of her simulation models provides critical evidence for public health decision-making.
As co-Lead of CAsToR's Data Analysis Core, Dr. Jeon manages infrastructure for processing complex tobacco-related datasets. She teaches EPID730: Simulation Modeling of Tobacco Use, Health Effects and Policy Impacts, where she trains students in advanced modeling techniques for public health applications. Her collaborative work spans multiple institutions through CISNET and other research networks, demonstrating her leadership in quantitative public health research.
