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Tony Desmond is a Professor Emeritus in the Department of Mathematics and Statistics at the University of Guelph. His research interests primarily focus on the application of statistics in various fields such as health and finance, including survival analysis and financial statistics. Throughout his career, he has guided numerous graduate students and collaborated with researchers from Canada and internationally, emphasizing the exploration of novel statistical models suited for analyzing observational data in clinical settings. Currently, Professor Desmond is particularly engaged in extending predictive models for Big Data, which presents significant computational and theoretical challenges. His work includes research on reliability modeling, stochastic processes, and statistical learning in relation to high-dimensional data. Notable supervised projects include studies on prediction error and the application of statistical methods to clinical data analysis, demonstrating a robust commitment to advancing the field of statistics and its practical applications.
Department of Clinical Studies. Offers MSc by thesis (2 years) and MSc by coursework (1 year).