I am Assistant Professor of Global Health in the Department of Global Health and Population, and part of the core faculty of the Harvard Center for Health Decision Science. I use decision science and quantitative research to understand the consequences of policies to combat major infectious diseases, and help design effective disease control programs when resources are limited.

In my empirical research, I have worked to improve the level of evidence on the resource requirements for HIV interventions in high burden settings, allowing for better budgeting of these large programs and allowing decision-makers to weigh the advantages of different implementation approaches. I am currently working on a multi-country study to understand the costs, cost drivers and efficiency determinants of routine immunization services. Other applied work has addressed the costs and benefits of expanding access to HIV screening and diagnosis in high prevalence settings.

My methodological interests include Bayesian approaches to calibrating simulation models, value of information analysis, the use of simulation models for causal inference, and approaches for synthesizing results from multiple models to inform policy.