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Justin Beland is an Assistant Professor in the Teaching Stream at the Department of Mechanical & Industrial Engineering at the University of Toronto. He specializes in machine intelligence, deep learning, probabilistic modeling, data science, and uncertainty optimization. Professor Beland’s teaching philosophy is centered on making complex topics understandable and accessible to a broad audience. His research focuses on developing novel approaches to tackle challenges associated with Bayesian optimization of high-dimensional functions and optimization under uncertainty. Specifically, he investigates representation learning, function decomposition, dimensionality reduction, Gaussian process modeling, deep neural networks, probabilistic numerics, and manifold learning to address these issues.
Department of Sociology