I am an assistant professor of epidemiology at Boston University School of Public Health. I conduct research on how to make evidence-based decisions for public health and medicine, including statistical and epidemiologic methods for understanding causal effects, as well as qualitative work on how best to communicate the results of rigorous research to decision-makers and the public.

I work on research in infectious disease, including COVID-19, HIV/AIDS, HPV, influenza, and tuberculosis, as well as in reproductive health, pediatric health, mental health, occupational health, and chronic and non-communicable diseases, such as cardiovascular disease, musculoskeletal disease. As evidenced by the broad range of disease areas, this work applies to all areas of public health and medicine, but also more broadly to all scientific research. I have presented work to groups at the WHO, UN, NIH, NSF, and World Bank, and published in peer-reviewed journals in biology and economics in addition to my public health research.

I have an ScD in Epidemiology and MSc in Biostatistics from Harvard, an MPH in Epidemiology from Columbia Mailman School of Public Health, and a BSc in Biology from McGill University. I am an Associate Editor for Social Media at the American Journal of Epidemiology, a co-chair of the Communications Committee for the Society for Epidemiologic Research, and cohost of a bi-weekly data science podcast called Casual Inference. I engage in public health outreach via Twitter, Medium, YouTube, and several other outlets.