Svyatoslav Korneev
Principal Research And Development Engineer at Akura Medical
San Jose, California, United States
Summary
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Senior🎓
Top SchoolSvyatoslav Korneev is a Ph.D.-level computational scientist and Principal R&D Engineer based in San Jose with over a decade of experience building physics-informed ML and image-processing solutions across medical imaging, additive manufacturing, and computational fluid dynamics. He leads end-to-end AI workflows—from annotation infrastructure to model training and clinical validation—currently focusing on multimodal imaging for pulmonary embolism detection and AI-assisted thrombectomy using MONAI. His background blends deep theoretical expertise (Ph.D. in Theoretical and Mathematical Physics) with practical toolchains like OpenFOAM and Wolfram Mathematica, and he has a track record of publishing, patenting, and mentoring research teams. Notably, he has translated advanced numerical methods (symbolic homogenization of PDEs, binarized neural PDE solvers) into applied products for industry and healthcare, demonstrating a rare mix of rigorous math and production-grade ML.
10 years of coding experience
14 years of employment as a software developer
Master, Theoretical Astrophysics, Master, Theoretical Astrophysics at Saint Petersburg State UniversityDoctor of Philosophy (Ph.D.), Theoretical and Mathematical Physics, Doctor of Philosophy (Ph.D.), Theoretical and Mathematical Physics at Russian Academy of Sciences
English, RussianGithub contributions (2)
svyatoslavkorneev/Solution_in_WMathematica
May 2016 - Dec 2024
Contributions:1 push, 1 branch in 8 years 7 months
svyatoslavkorneev/downscaling
Oct 2016 - Oct 2016
Contributions:16 commits, 15 pushes, 1 branch in 3 days
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