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Physical AI, Quantum, and Bio-Innovation: Inside Canada’s Research Frontier

TechSurge: Deep Tech Podcast · 2026-07-15 · 1h 9m

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Topics in this episode

AI infrastructureArtificial intelligenceVenture capitalDeep techSemiconductors

Episode notes

Canada produces world-leading science, engineering, and AI research. So why does so much of that research still commercialize outside of Canada? In this episode of TechSurge, host Nic Brathwaite puts that question to four leaders at two of Canada's top research universities: Mary Wells (Dean of Engineering) and Chris Houser (Dean of Science) at the University of Waterloo, and Heather Sheardown (Dean of Engineering) and Gianni Parise (VP Research) at McMaster. At Waterloo, Mary Wells traces how the university's origin produced one of the world's most influential co-op programs and a creator-owned IP policy that lets inventors keep their ideas, making the school a talent engine for global tech. The group digs into Canada's AI paradox, foundational research and talent but far less of the economic value, and what quantum, robotics, and advanced manufacturing show about getting research to market. McMaster runs a different model, built on health sciences, nuclear research, and problem-based learning. Heather Sheardown explains the McMaster Method and why it matters in an AI-shaped future.

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