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Murat Erdogdu is an Associate Professor at the University of Toronto in the Department of Computer Science and the Department of Statistical Sciences. He is also a faculty member of the Machine Learning Group at the Vector Institute and holds the CIFAR Chair in Artificial Intelligence. With a strong background in statistical theory, his research interests span Machine Learning, High-dimensional Statistics, Optimization, and Sampling. He has contributed to significant advancements in neural networks and statistical perspectives on machine learning, demonstrated by his recent publications focusing on learning dynamics in high dimensions and robust feature selection. Before joining the University of Toronto, he was a postdoctoral researcher at Microsoft Research - New England. He earned his Ph.D. in Statistics from Stanford University.
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