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Jeffrey Picka is an Associate Professor in the Department of Mathematics at the University of New Brunswick. He specializes in Statistics and Actuarial Science, focusing on developing statistical methods that evaluate the fit of simulations to observed data in complex natural phenomena. His research addresses the unpredictability and disorder inherent in various fields, including climate change, powder flow, and the dynamics of chemical reactions. Picka applies spatial statistical inference techniques that account for both spatial and temporal correlations in data. He is also dedicated to improving statistical education, advocating for a modernized view of science in which researchers construct high-quality information about the natural world rather than merely revealing truths. His work incorporates ideas from philosophy, sociology, and history of science to enhance understanding among graduate students, particularly in how data science differs from traditional statistics. He is actively engaged in applying new developments in science studies to practical statistical inference.
Department of Business / Department of Management / Department of Business Administration