Guillaume Lajoie, Ph.D.

Guillaume Lajoie is an applied mathematician interested in the interactions and commonalities of biological and artificial neural computations. His research group works at the intersection of artificial intelligence and neuroscience, developing tools to better understand neural network as well as algorithms for brain-machine interfaces for scientific and clinical use. His work is motivated by the remarkable ability of neural networks (biological and artificial) to learn and support complex, emergent computations. He uses tools from dynamical systems, information theory, statistics and machine learning to address a range of problems, in collaboration with experimental neuroscientists and machine intelligence researchers.