Data Science Institute

I am the John and Elizabeth Irving Family Assistant Professor of Climate & Health at Brown University with a joint appointment between the Department of Epidemiology, School of Public Health and the Institute at Brown for Environment and Society.

Previously I was a postdoc and associate research scholar at Princeton University (EEB/HMEI) and have degrees from Princeton (CPREE program, SPIA), Cambridge (Maths) and Bristol University (Physics).

I am interested in understanding the implications of climate change for human health with a particular focus on infectious disease. I use a combination of statistical inference and mechanistic disease modeling. My work has been published in several journals including Science, PNAS, Nature Communications and Climatic Change and featured in media outlets including The New York Times, The Atlantic, WIRED Magazine and Scientific American.

How does your research, teaching, or other work relate to data or computational science?

I use computational models and statistical inference to characterize the climate drivers of infectious disease in order to understand the possible implications of climate change for epidemics. My work usually involves linking large publicly available climate and disease datasets.