Reza Yaesoubi, PhD
Biography
Research & Publications
News
Appointments
Biography
Dr. Yaesoubi’s research focuses on medial decision making and model-based evaluation of health policies. His work incorporates mathematical and computer simulation models, machine learning methods, and optimization techniques to guide resource allocation and decision making in public health and health delivery systems. He has applied these methods in estimating the impact of different strategies to reduce the prevalence of alcohol-exposed pregnancies, 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 optimizing public health responses to control the spread of infectious diseases including COVID-19, influenza, meningitis, and drug-resistant tuberculosis and gonorrhea. He is also interested in theoretical and methodological issues in medical decision-making and health care resource allocation.
Education & Training
- PhDNorth 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 NigerNiamey, Niger 2016
- The cost- effectiveness analysis of furnishing a pediatric OR in Uganda from the non-governmental organization’s perspectiveKampala, Uganda 2016
- Reducing the risk of alcohol-exposed pregnancies: A modeling approachNew Haven, United States 2016
- Modeling the impact of tuberculosis control interventions targeted to previously treated peopleCape Town, South Africa 2015
- Cost-effectiveness of alternative uses of polyvalent meningococcal vaccines in Burkina FasoOuagadougou, Burkina Faso 2015
Departments & Organizations
- Health Policy & Management
- Public Health Modeling
- Yaesoubi Lab
- Yale Institute for Global Health
- Yale School of Public Health