Sergey Osipov is a research scientist with 8 years of experience applying applied mathematics and computational science to environmental modeling, specializing in climate, air quality, renewable energy, hydrology, and public health. He pairs a strong academic background (PhD from KAUST and MS/BS from MIPT) with industrial-scale HPC expertise, having deployed and tuned parallel codes on top supercomputers worldwide. Sergey has handled petabyte-scale datasets and led teams of 10+ members, translating complex physical models into production-ready simulations and operational insights. His career bridges elite research institutes (Max Planck, KAUST) and practical leadership roles, and he brings an unusual combination of systems-level thinking from his systems-analysis training and hands-on experience optimizing codes for machines like Shaheen, Mistral, and Gaea.
9 years of coding experience
6 years of employment as a software developer
PhD, Applied Mathematics and Computational Science, PhD, Applied Mathematics and Computational Science at KAUST (King Abdullah University of Science and Technology)
Master of Science - MS, System Analysis and Management in Large Systems, Master of Science - MS, System Analysis and Management in Large Systems at Moscow Institute of Physics and Technology (State University) (MIPT)
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