Can Mekik is an Assistant Professor at the University of Toronto with 11 years of experience at the intersection of cognitive science, mathematics, and computer science. He holds a PhD in Cognitive Science from Rensselaer and brings a strong academic track record spanning research and teaching roles at leading institutions. His work centers on cognitive architectures and computational models of mind, pairing theoretical rigor with practical implementation experience from earlier industry projects such as ERP deployments and business process analysis. Comfortable moving between code, experiments, and pedagogy, he mentors students while advancing research that bridges cognitive theory and engineering. Based in Old Toronto, he combines international education roots—including a French science baccalaureate—with a pragmatic bent shaped by hands-on project work. Colleagues describe him as a thoughtful researcher who translates complex cognitive concepts into reproducible computational systems.
11 years of coding experience
Master of Cognitive Science, Master of Cognitive Science at Carleton University
Doctor of Philosophy (PhD), Cognitive Science, Doctor of Philosophy (PhD), Cognitive Science at Rensselaer Polytechnic Institute
Honours Bachelor of Science, Cognitive Science, Mathematics & Computer Science, Honours Bachelor of Science, Cognitive Science, Mathematics & Computer Science at University of Toronto
French Baccalaureate with High Honours, Science stream with specialization in Mathematics, French Baccalaureate with High Honours, Science stream with specialization in Mathematics at Lycée Français Charles de Gaulle à Ankara
Contributions:17 commits, 5 PRs, 13 pushes in 4 months
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Can Mekik - Assistant Professor at University of Toronto