About Me

I’m an Assistant Professor at the Danish Centre for Health Economics (DaCHE) and a Visiting Fellow at the Danish Institute for Advanced Study (DIAS) at the University of Southern Denmark, where I study the complex relationships between population health, healthcare expenditures, and disease burden.

My research uses large-scale health data and quantitative methods to investigate real-world health policy challenges and to understand how we can better allocate resources and improve population outcomes. Before my PhD, I spent four years at the Institute for Health Metrics and Evaluation (IHME) as a Research Scientist, contributing to burden of disease and health spending research that informs health policy worldwide.

Research Interests

Health Economics Healthcare expenditure, resource allocation, systems incentives Population Health Disease burden estimation, comparative outcomes, fertility, mortality Quantitative Methods Causal inference, predictive modeling, large-scale data analysis Health Policy Evidence-based policy, health systems, health equity

Education

PhD in Health Economics University of Southern Denmark Defense September 2026

Visiting Graduate Student Johns Hopkins University 2025–2026

MSc in Health Data Science London School of Economics 2023

PgCert in Epidemiology University of Edinburgh 2023

BA in Statistics Rice University 2017

Experience

University of Southern Denmark Assistant Professor, DaCHE · Visiting Fellow, DIAS 2026-present

  • Register-based research on the economic and social consequences of disease
  • Health expenditure and resource-use comparisons across countries

Institute for Health Metrics and Evaluation Research Scientist 2019-2023

  • Clinical Informatics researcher, Global Burden of Disease
  • Disease expenditure researcher, US Counties Health Expenditure project
  • Led integration of Medicare and Medicaid claims data for IHME research

Epic Systems Technical Services Engineer 2017-2019

  • Supported EHR implementations of population health management programs
  • Troubleshot clinical software issues for large health systems