We study malaria genomics and develop frameworks and models to analyze these data to better understand patterns of malaria transmission. Our work is focused on:
Developing epidemiological models of malaria that integrate genomic information to understand patterns of transmission to better identify infections that have a disproportionate impact on overall burden of malaria.
Understand the ability for malaria genomics to identify importation events and patterns of connectivity driven by human travel.
Collection of data in Sub-Saharan Africa to work with collaborators to identify the use of various genotyping methods, statistical frameworks to quantify parasite relatedness, and the impact of population-mixing on sustained transmission.
Develop novel statistical methods to integrate epidemiological (travel, infection history) and genomic information to better understand how behavior impacts disease transmission.