Ryo Igarashi is a Machine Learning Engineer with 16 years of research and development experience bridging computational statistical physics, large-scale numerical simulation, and materials informatics. With a Ph.D. from the University of Tokyo, he has led projects at OMRON SINIC X, RICOS, and multiple University of Tokyo labs, specializing in Python-driven parallel computing, numerical linear algebra, and FEM applied to quantum many-body problems. He combines hands-on software development—contributing to and supporting scientific libraries like ALPS—with applied ML techniques such as symbolic regression and learned encoders/decoders for crystal representations. Known for turning complex physics into scalable code, he uniquely blends academic depth with practical tool-building for AI-for-science workflows.
16 years of coding experience
7 years of employment as a software developer
Ph.D., Computational Statistical Physics, Ph.D., Computational Statistical Physics at 東京大学
Contributions:120 pushes, 1 branch, 24 comments in 4 years 2 months
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Ryo Igarashi - Machine Learning Engineer at OMRON SINIC X