Reza Yaesoubi, PhD

Dr. Yaesoubi is a health decision scientist with focus on developing and applying analytical methods to inform decision making in public health and medicine. His expertise is in developing methods to guide decisions when the evidence base and data are shifting too quickly for any static policy or guideline to suffice (e.g., during outbreaks of novel pathogens or spread of antimicrobial-resistant pathogens). Through incorporating computer simulation models, statistical and machine learning methods, and optimization techniques, he has pioneered mechanisms to combine data and evidence from disparate sources to inform cost-effective decisions in real-time. He has applied these methods to optimize public health responses to the spread of drug-resistant tuberculosis, antimicrobial-resistant gonorrhea, COVID-19, influenza, and meningitis. He is also interested in and contributed to the theoretical and methodological issues in medical decision-making and health care resource allocation.