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Michael G Metzen, a PhD neuroscientist and biologist based in Canada, brings a researcher’s rigor to the behind-the-scenes work that helps AI handle real-world uncertainty with more consistency and care.
With decades of experience in academic research and project driven collaboration, he’s worked deep in data, signals, and complex biological systems, the kind of environments where small errors compound and conclusions have to hold up under scrutiny.
He’s also leaned into modern ML tooling, with a practical focus on how these systems are trained and evaluated, not just what they output.
On Hyta, Shapers like Michael bring scientific discipline to RL-based training workflows for mission-critical sectors.