Biological Sciences, Earth & Environmental Sciences, Health Sciences, Social Sciences, Statistics
Applications in Health Sciences
Applications in Life Sciences
I’m a statistician working on the development of new statistical methods for the social, environmental and health sciences. My methodological research focuses on Bayesian model selection and Bayesian model averaging, model-based clustering, inference for deterministic computer models, and probabilistic forecasting.
I’m currently working on four main projects. The first is the development of new methods for probabilistic population projections for all countries, in collaboration with the United Nations. The second project, in collaboration with UNAIDS, is the development of methods for estimating and projecting the HIV/AIDS epidemic, both in countries with generalized epidemics (mainly in Africa), and in countries with concentrated epidemics, which are statistically challenging because the populations at risk are hard to reach. The third project, in collaboration with colleagues at the UW Department of Atmospheric Sciences, is the development of new methods for probabilistic weather forecasting. The fourth project, in collaboration with colleagues at the UW Department of Microbiology, is the development of Bayesian model averaging methods for inferring gene regulatory networks from high-throughput data.