Guillaume Lajoie
Core Member at Google
Canada
Summary
👤
Senior🎓
Top SchoolGuillaume Lajoie is a computational neuroscientist and applied mathematician with nine years of research experience at the intersection of AI and neuroscience, holding faculty and core membership roles at Université de Montréal and Mila. He develops theoretical and applied tools to probe neural network dynamics—both biological and artificial—and builds algorithms for brain-machine interfaces with scientific and clinical aims. As a Canada CIFAR AI Chair and visiting researcher at Google, he blends rigorous dynamical-systems math with practical machine learning research. His background (PhD and MS in Applied Mathematics) underpins a quantitative approach to questions of neural computation and learning. Beyond academia, he advises AI startups and translates theory into real-world ML and neurotech applications. Colleagues value his ability to connect deep mathematical insight with hands-on experimental and engineering work.
9 years of coding experience
Doctor of Philosophy (PhD), Applied Mathematics, Doctor of Philosophy (PhD), Applied Mathematics at University of WashingtonMaster's degree, Mathematics, Master's degree, Mathematics at Université d'Ottawa
French, English, Portuguese
Github Skills (7)
whatsapp7
telegram6
slack5
messaging5
chat4
messenger4
electron4
Programming languages (2)
Github contributions (5)
glajoie/MAT6115_Dynamical_Systems
Aug 2018 - Jan 2022
Support material for MAT6115, Université de Montréal, Fall 2018
Contributions:21 commits, 23 pushes, 1 branch in 3 years 4 months
fall
glajoie/BBCI_spiking_plasticity_model
Sep 2016 - Sep 2016
Contributions:2 commits, 1 push, 1 branch in 1 day
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