Maksat Jumamyradov, PhD

I specialize in econometrics, health economics and applied microeconomics, focusing on understanding preference heterogeneity, market segmentation, and causal inference to analyze population behavior, willingness-to-pay, and choice predictions. In my PhD dissertation, I introduced novel preference elicitation methodologies, analyzed biases in discrete choice models using both classical and Bayesian methods, and directed discrete choice experiments to conduct preference-based value assessment of pediatric health-related quality of life. Skilled in developing predictive models using MATAB, R, and Python as well as utilizing high-performance computing to conduct simulation studies. I apply advanced econometric techniques to optimize decision-making, evaluate interventions, and uncover causal relationships in complex datasets. I thrive in collaborative, data-driven environments and excel at translating rigorous research into actionable insights for diverse stakeholders.