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.
Read more about Reza Yaesoubi here.