Faculty Profile

Jihyoun  Jeon, PhD, M.S.

Jihyoun Jeon, PhD, M.S.

  • Associate Research Scientist, Epidemiology
  • M5065 SPH II
  • 1415 Washington Heights
  • Ann Arbor, MI 48109-2029

Dr. Jeon is a member of the Cancer Epidemiology and Prevention Program of the University of Michigan Rogel Cancer Center, the Michigan Institute for Computational Discovery and Engineering, and the Institute for Healthcare Policy and Innovation. She has been a core member of large multidisciplinary national consortia: the NCI Cancer Intervention and Surveillance Modeling Network (CISNET) Lung Group, the Genetics, and Epidemiology of Colorectal Cancer Consortium (GECCO), and the Colorectal Transdisciplinary (CORECT) Study in the Genetic Associations and Mechanisms in Oncology (GAME-ON). 

Dr. Jeon's research interests focus on developing models based on biological and clinical mechanisms and statistical methods to evaluate the impact of risk factors on various cancers and improve cancer outcomes. The goal of these modeling efforts is to address important practical public health and clinical questions, such as the efficacy of screening to reduce cancer incidence and mortality, and assist public health policy makers in their decision process. Particularly, my current research focuses on understanding the underlying mechanisms of the natural history of cancer, and developing innovative methodologies and computational tools to accurately predict the risk of lung cancer and colorectal cancer taking into account personal histories of environmental exposures and biological and genetic factors.

  • B.S., Mathematics, Ewha Womans University, South Korea, 1996
  • M.S., Mathematics, Ewha Womans University, South Korea, 1998
  • M.S., Statistics, University of Washington, 2005
  • PhD, Applied Mathematics, University of Washington, 2007

  • Evaluate impact of tobacco control policies and screening on lung cancer risk
  • Prediction of colorectal cancer risk using epidemiological and genetic factors
  • Evaluate impact of tobacco regulations on health using simulation modeling and data science
  • COPD risk model based on smoking
  • Mechanistic modeling of carcinogenesis and evaluation of screening effect on colorectal cancer

  • Jeon J, Du M, Schoen RE, Homeister M, Newcomb PA, Berndt SI, et al. Determining Risk of Colorectal Cancer and Starting Age of Screening Based on Lifestyle, Environmental, and Genetic Factors. Gastroenterology. 154(8):2152-2164 (2018). https://www.ncbi.nlm.nih.gov/pubmed/29458155
  • Jeon J, Holford TR, Levy DT, Feuer EJ, Cao P, Tam J, Clarke L, Clarke J, Kong CY, and Meza R. Smoking and Lung Cancer Mortality in the United States From 2015 to 2065: A Comparative Modeling Approach. Ann Intern Med. 169(10):684-693 (2018). https://www.ncbi.nlm.nih.gov/pubmed/30304504
  • Huyghe JR, Bien SA, Harrison TA, Kang HM, Chen S, Schmit SL, Conti DV, Qu C, Jeon J, et al. Discovery of common and rare genetic risk variants for colorectal cancer. Nat Genet. 51(1):76-87 (2019). https://www.ncbi.nlm.nih.gov/pubmed/30510241
  • Tammemagi MC, Ten Haaf K, Toumazis I, Kong CY, Han SS, Jeon J, Commins J, Riley T, and Meza R. Development and Validation of a Multivariable Lung Cancer Risk Prediction Model Including CT Screening Results. JAMA Netw Open. 2(3):e190204  (2019). https://www.ncbi.nlm.nih.gov/pubmed/30821827
  • Chang JT, Jeon J, Sriplung H, Yeesoonsang S, Bilheem S, Rozek L, Chitapanarux I, Pongnikorn D, Daoprasert K, Vatanasapt P, Suwanrungruang K, and Meza R. Temporal Trends and Geographic Patterns of Lung Cancer Incidence by Histology in Thailand, 1990 to 2014. J Glob Oncol. (4):1-29 (2018). https://www.ncbi.nlm.nih.gov/pubmed/30192698
  • Tam J, Levy DT, Jeon J, Clarke J, Gilkeson S, Hall T, Feuer EJ, Holford TR, and Meza R. Projecting the effects of tobacco control policies in the USA through microsimulation: a study protocol. BMJ Open 8(3):e019169 (2018). https://www.ncbi.nlm.nih.gov/pubmed/29574440
  • Ten Haaf K, Jeon J, Tammemagi MC, Han SS, Kong CY, Plevritis SK, Feuer EJ, de Koning HJ, Steyerberg EW, and Meza R. Risk prediction models for selection of lung cancer screening candidates: A retrospective validation study. PLoS Med. 14(4):e1002277 (2017). https://www.ncbi.nlm.nih.gov/pubmed/28376113
  • Hsu L, Jeon J (joint first author), Brenner H, Gruber SB, Schoen RE, Berndt SI, Chan AT, et al. A Model to Determine Colorectal Cancer Risk Using Common Genetic Susceptibility Loci. Gastroenterology. 148(7):1330-1339.e14 (2015). https://www.ncbi.nlm.nih.gov/pubmed/25683114