Bayesian modeling for monitoring and forecasting in global health
Where are we, and where are we heading? Bayesian estimates and forecasts of family planning, maternal and child health indicators, used by the UN, WHO and FP2030.
I am a statistician who develops Bayesian methods for global health. To date, my main focus has been monitoring and forecasting: estimating and projecting family planning, maternal and child health, and other health indicators, with uncertainty, in settings where data are often limited or messy. Methods from my group are used by the United Nations, WHO, UNICEF, the Guttmacher Institute, FP2030 and Countdown to 2030 to track progress in countries around the world. More recently, I have extended this work to evaluating impact, using Bayesian approaches to causal inference and experimental design, including clinical trials, to ask what works, and for whom.
I am Professor and Associate Chair in the Department of Biostatistics and Epidemiology at UMass Amherst. I received my PhD in Statistics from the University of Washington and was previously on the faculty at the National University of Singapore.
Research
Latest news
October 22, 2026 New website! Finally, a new website! Take a look at my current research!
No matching items