Reza Yaesoubi, PhD

Assistant Professor of Public Health (Health Policy)

Departments & Organizations

School of Public Health: Health Policy & Management | Public Health Modeling Concentration | Yaesoubi Lab

Biography

Dr. Yaesoubi’s research focuses on medical decision making and model-based evaluation of health policies. His work incorporates mathematical and computer simulation models, statistical methods, and optimization techniques to guide resource allocation and decision making in public health and health delivery systems. He has applied these methods in conducting cost-effectiveness analyses of colorectal cancer screening strategies, estimating societal willingness-to-pay for health, and characterizing performance-based payment systems for preventive care systems. His current work mainly focuses on adaptive decision making to control the spread of infectious diseases including tuberculosis, influenza, and meningitis. He is also interested in theoretical and methodological issues in medical decision making including cost-effectiveness analysis, large-scale simulation modeling, Markov decision processes, approximate dynamic programming, game theory, and principal-agent models.

Education & Training

PhD North Carolina State University, Industrial & Systems Engineering (2010)

Activities

  • Predicting seasonal influenza activities in the U.S. New Haven, United States (2016)

  • Cost-effectiveness of the alternative uses of polyvalent meningococcal vaccines in Niger Niamey, Niger (2016)

  • The cost- effectiveness analysis of furnishing a pediatric OR in Uganda from the non-governmental organization’s perspective Kampala, Uganda (2016)

  • Reducing the risk of alcohol-exposed pregnancies: A modeling approach New Haven, United States (2016)

  • Modeling the impact of tuberculosis control interventions targeted to previously treated people Cape Town, South Africa (2015)

  • Cost-effectiveness of alternative uses of polyvalent meningococcal vaccines in Burkina Faso Ouagadougou, Burkina Faso (2015)

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