Eunha Shim

Eunha Shim

Assistant ProfessorKeplinger Hall U349
(918) 631-4131
eunha-shim@utulsa.eduPersonal Website

Dr. Shim's research interests are in modeling infectious diseases, pathogen evolution, and the application of game theory, which are associated with predicting health policy effectiveness and best practices. She often uses interdisciplinary approaches, integrating epidemiology, behavioral science, mathematics, and economics in order to create qualitative and quantitative predictions of epidemiology and evolutionary problems. On a molecular scale, her work focuses on the impact of disease interventions on the evolution of pathogens. On an individual scale, she determines how medical decisions are influenced by individual perceptions and motivations. On a population scale, she assesses ways to promote population adherence to the group-­optimal control strategies using a game-­theoretic approach.  On a national scale, she determines and compares the impact of different control strategies.

Education and Degrees Earned

  • Ph.D., Mathematics and Statistics, Arizona State University, 2007
  • M.Sc., Mathematics, University of British Columbia, 2004
  • B.Sc., Mathematics, University of British Columbia, 2002

Areas of Research Focus

  • Mathematical biology
  • Game theory

Previous Relevant Work Experience

  • Assistant Professor, Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh (2010-2013)
  • Associate Research Scientist, Department of Epidemiology and Public Health, Yale University (2009-2010)
  • Postdoctoral Associate, Department of Epidemiology and Public Health, Yale University (2007-2009)
  • Graduate Associate, The Centre for Mathematical Biology, University of Oxford (2006)