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I'm a visiting assistant professor in the Department of
Statistics at Berkeley and an
adjunct assistant professor in the Department of
Biostatistics at Harvard School of Public
Health, where I was an assistant professor from 2005 until June 2009. At Harvard, I continue to work with the
Environmental Statistics group in the department.
My statistical expertise is in the areas of Bayesian statistics and spatial statistics. My research in recent years has focused on spatial and spatio-temporal modelling for environmental health applications, including exposure estimation, measurement error issues, and modelling health outcomes. Recently, I've been developing a research thread in public health monitoring, in particular Bayesian methods for combining information. I also have some ongoing work in Bayesian spatio-temporal modeling for ecological applications. |  |
I finished my PhD in Statistics at Carnegie Mellon University in May, 2003. My previous training was in ecology, with an MS from Duke University and a BA from Carleton College. My Ph.D. research focused on nonstationary covariance structures for Gaussian process models with application to climatological and other spatial data and to nonparametric regression modelling.
A little about my philosophy of what to post on the web about your research. In short, post as much as possible, though if you're worried about someone stealing your ideas, you may want to wait to post details until you at least have a tech report ready.
I also have a personal home page, which at this point is rather boring, though it does contain some interesting quotes, some recipes, and a few cool pictures from a former life as an ecologist.
Revised December 2009.
Christopher Paciorek