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Guillaume Lajoie is an Associate Professor in the Department of Mathematics and Statistics at the University of Montreal and a principal academic member of Mila. He holds a position as a research scholar from the Fonds de recherche du Québec - Santé (FRQS). Previously, he was a postdoctoral fellow at the Max Planck Institute for Dynamics and Self-Organization and at the University of Washington's Institute for Neuroengineering. He earned his doctorate in Applied Mathematics from the University of Washington in Seattle. His research focuses on the intersection of artificial intelligence and neuroscience, exploring the dynamics and computations of neural networks with applications in neuroengineering. His recent work includes developing inductive biases for improved information propagation in recurrent networks and algorithms to optimize bidirectional brain-machine interfaces.
University of Montreal • Montreal, QC, Canada
Teaching and conducting research in the field of Mathematics and Statistics, particularly focusing on applications in artificial intelligence and neuroscience.
Most programs require French B2 level; specific departments may require C1 or C2.