School of Public Policy, Contributing to a Livable World



















Naoru Koizumi
Assistant Professor

Personal page: http://mason.gmu.edu/~nkoizumi/main/index.htm

nkoizumi@gmu.edu
703
-993-8380
703
-993-8215 fax
George Mason School of Public Policy
3401 Fairfax Drive – MS 3B1
Arlington, VA 22201

Education
Doctor of Philosophy (Ph.D.), Environmental and Preventive Medicine, Hyogo College of Medicine

Doctor of Philosophy (Ph.D.), Regional Science,
University of Pennsylvania

Master of Arts (M.A.), Regional Science, University of Pennsylvania

Bachelor of Arts (B.A.), Business Administration (Minor: Economics), Aoyama-Gakuin University

Biography
Naoru Koizumi is an Assistant Professor at George Mason’s School of Public Policy, specializing in stochastic modeling and simulation in the health and the environmental sectors. Dr. Koizumi’s current main research projects include forecasting of optimal resource allocations for a mental health system and disease spread modeling and simulation using Geographic Information Systems (GIS).

Dr. Koizumi completed her first doctoral program in Regional Science from the University of Pennsylvania in 2002, and the extension of her doctoral research has been funded by National Institute of Health (NIH) as a federal grant project. Her second PhD (2005) is in Environmental and Preventive Medicine from Hyogo College of Medicine, Japan. Before joining the SPP, Dr. Koizumi was a post-doctoral researcher at the Electrical and Systems Engineering Department of the University of Pennsylvania where she also worked on various health sector projects in collaboration with the School of Medicine. Outside academia, Dr. Koizumi worked for several international development agencies (IDB and EBRD) and in private consulting, participating primarily in social and water sector projects in Latin America and East Europe.

Areas of Research

  • Stochastic Modeling
  • Simulation of Health Care Systems
  • Spatial Statistics and GeographicInformation Systems (GIS) in Public Health
  • Applied Statistics in Health Care