Chris Paciorek
Dr. Paciorek is an expert in Bayesian and spatial statistics applied to environmental and public health research. He is an adjunct Professor and statistical computing consultant in the Department of Statistics at the University of California, Berkeley. In 2003, Dr. Paciorek finished his PhD in Statistics at Carnegie Mellon University. He continued his career with a role as an assistant professor in the Biostatistics Department at the Harvard University School of Public Health. Since 2009, Dr. Paciorek has been in the Statistics Department at UC Berkeley. In addition to his current positions as adjunct Professor and statistical computing consultant, he is also co-Principal Investigator of the NIMBLE project. He has worked on various aspects of NIMBLE development, including model processing, MCMC and other algorithms. He has also led or co-led a variety of workshops on NIMBLE (hyperlink to https://github.com/nimble-training). His applied statistics work with NIMBLE has included prediction of past vegetation using paleoecological proxy data, hidden Markov modeling of precipitation, and clustering of countries based on health metrics. More information: https://www.stat.berkeley.edu/~paciorek/ |