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Ayesha Ali is a Professor in the Department of Mathematics and Statistics at the University of Guelph, specializing in statistics and data science. She is the director of the Master of Data Science program and her research focuses on complex systems within high-dimensional settings. Her work involves statistical computing with applications in various fields, including plant-pollinator networks and disease risk factors. She has developed advanced statistical methods, such as the grouped Dirichlet-multinomial regression model for regularization and model selection, as well as causal models that provide unbiased parameter estimates in longitudinal data. Ayesha is active in research involving machine learning, graphical Markov models, and bioinformatics, contributing significantly to the study of genetic selection in livestock. She has a keen interest in developing models that improve prediction outcomes and has overseen numerous graduate research projects. Ayesha has published extensively in reputable journals and has received various awards, including the Canadian Journal of Statistics Award in 2020 for her work on statistical methodology.
Department of Clinical Studies. Offers MSc by thesis (2 years) and MSc by coursework (1 year).