Ilya Schurov is a mathematician-turned-ML researcher with 11 years of experience bridging pure math, teaching, and applied AI engineering, currently building forecasting and optimization tools at Omnifold in San Francisco. He has a strong academic pedigree—PhD-level work in differential equations and dynamical systems—and a track record as an associate professor who created Coursera courses, interactive textbooks used by thousands, and won multiple teaching and innovation awards. His research blends mathematical modeling with modern neural architectures (including neural quantum states) from postdoctoral work at Radboud University to industry applications. Comfortable both lecturing large classes and shipping production ML, he brings rare dual fluency in rigorous theory and pragmatic engineering. An understated strength is his long history of curriculum and platform design, which means he thinks about systems that scale learning as well as models that scale predictions.
Contributions:51 commits, 1 PR, 48 pushes in 5 years 7 months
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Ilya Schurov - Member Of Technical Staff at Omnifold