Johan Mathe is a founder and CTO based in San Francisco with 11 years of experience building high-impact, physics-informed AI systems and distributed infrastructure. He leads Atmo’s scientific and engineering efforts to deliver city-to-country scale weather prediction by combining applied mathematics, machine learning, and massively parallel hardware-software stacks. His background spans avionics and embedded systems to large-scale optimization and control from roles at Google[x], Apollo Fusion, and early AI-medical work at Caption Health, reflecting a rare mix of hands-on engineering and systems-level productization. An active contributor to geometric statistics tooling, he has implemented visualization and gradient-descent features in the geomstats project—signaling a practical interest in manifold methods for real-world modeling.
11 years of coding experience
14 years of employment as a software developer
Electrical and Computer Engineering, Electrical and Computer Engineering at University of Waterloo
Y Combinator
Master of science Computer Engineering, Master of science Computer Engineering at Université de Technologie de Compiègne (UTC)
Electrical Engineering, Electrical Engineering at Stanford University
Contributions:7 reviews, 3 commits, 9 PRs in 2 years 5 months
shot-detectionobject-detection
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