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Justin Slater is an Assistant Professor in the Department of Mathematics and Statistics at the University of Guelph. He holds a Ph.D. in Statistical Sciences from the University of Toronto, where his research focused on the intersection of statistics, data science, and epidemiology. Prior to his academic career, he worked as a statistical consultant at Cytel Inc. and as an analyst at the Institute for Clinical Evaluative Sciences. Slater's research interests encompass various themes in statistics, including Bayesian statistics and learning, spatiotemporal statistics, and infectious disease modeling. His work involves developing innovative statistical methods to analyze complex data, particularly in the context of public health and disease epidemiology. He is also keen on training the next generation of statisticians and data scientists. Justin has published multiple papers in research areas such as spatial statistics and the modeling of epidemics using mobility data. His current research endeavors focus on improving epidemic curve reconstruction from incomplete data and applying state-space models and Gaussian processes to enhance disease prevalence estimation.
University of Guelph • Guelph, ON
Teaching and conducting research in the Department of Mathematics and Statistics.
Cytel Inc. •
Provided statistical consulting services.
Institute for Clinical Evaluative Sciences •
Worked as an analyst focused on health data evaluation.
Department of Clinical Studies. Offers MSc by thesis (2 years) and MSc by coursework (1 year).