Selected publications can be found on her Google Scholar profile: https://scholar.google.com/citations?user=L7MMYvwAAAAJ&hl=hu
Research Experience
Works on quantitative evaluation of national health policy reforms, incorporating machine learning in health policy evaluation, and health economics and outcomes research.
Education
PhD in Health Economics, London School of Hygiene and Tropical Medicine (LSHTM), University of London (UK); MA in Economics, Central European University, Hungary; MSc in Economics, Corvinus University of Budapest, Hungary; Rajk Laszlo College for Advanced Studies, Hungary.
Background
Research interests: Big Data, Causal inference, Health Economics, Health Outcomes, Health Policy, Machine Learning. Specializes in causal inference methods for cost-effectiveness analysis and health policy evaluation.