Epidemiology and Population Health

We are a highly interdisciplinary group with a diverse set of research interests that span various areas of medicine and public health.

Our research aims to improve population health by creating high quality evidence about what health interventions work in whom and where, when, and how to implement them. Most of our research is focused on infectious diseases, including malaria, diarrhea, soil-transmitted helminths, and influenza. Our focus is on improving the health of vulnerable populations from low-resource settings, both domestically and internationally. We use a variety of epidemiologic, computational, and statistical methods, including causal inference and machine learning methods.

Our research aims to improve population health by creating high quality evidence about what health interventions work in whom and where, when, and how to implement them. Most of our research is focused on infectious diseases, including malaria, diarrhea, soil-transmitted helminths, and influenza. Our focus is on improving the health of vulnerable populations from low-resource settings, both domestically and internationally. We use a variety of epidemiologic, computational, and statistical methods, including causal inference and machine learning methods.

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Our team’s research spans the fields of dermatology, technology and public health. One of our main projects is centered on developing innovative skin cancer prevention interventions using social media. Another project area is the use of shared decision-making, mobile app technology for monitoring and optimal care of low risk skin cancers. We collaborate closely with colleagues in bioinformatics and computer science on use of visual Artificial intelligence methods to skin image monitoring.