About our research
Our laboratory conducts research in computational epidemiology and systems science. This research combines medical anthropology with computational epidemiology to answer questions that can't be addressed by either discipline alone. Our work involves combining detailed information about social and economic systems into the study of disease risk and public health policy responses to risk.
We specifically use mathematical models and econometrics to study large-scale international data describing infectious and chronic disease epidemics, with a particular emphasis on disparities in the distribution of disease and risk factors across socioeconomic groups. Our work addresses fundamental concepts of epidemic resilience theory, or the study of how public health systems can help populations weather social, economic and epidemic shocks, protecting vulnerable populations from premature morbidity, mortality and disability.
On this website, we share links to our research and provide resources to students and colleagues interested in our work. We work as part of the: