University of California, Berkeley
Christopher Paciorek is the statistical computing consultant, as well as a researcher and lecturer, in the Department of Statistics at University of California, Berkeley. As the statistical computing consultant, he is a member of the staff of the Statistical Computing Facility.
His statistical expertise is in the areas of Bayesian statistics and spatial statistics with primary application to environmental and public health research. His research in recent years has focused on methodology and applied work in a variety of areas, in particular: measurement error issues in air pollution epidemiology, Bayesian methods for global health monitoring with a focus on combining disparate sources of information, spatio-temporal modeling of air pollution, analysis of trends in extreme weather, and software development for large spatial prediction problems using distributed computing.