Konstantin Ushenin
Senior Researcher at Ural Federal University
Moscow, Moscow, Russia
Summary
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Senior🎓
Top SchoolKonstantin Ushenin is a PhD-level deep learning researcher with 11 years of experience applying ML, HPC and numerical simulation to problems in computational chemistry, biomedicine and medical imaging. He combines academic rigor—over 30 publications and multiple grants—with applied work building geometric graph neural networks, DFT-informed models, and personalized 3D heart simulations for clinical and startup contexts. As a senior researcher and lecturer he mentors student ML-engineering projects and has a broad engineering background from C/C++ HPC and Python data pipelines to biomedical signal processing and visualization. Notably, he has translated simulation-driven research into practical datasets and virtual patient cohorts used for product validation and business decisions. His interdisciplinary fluency across cheminformatics, DFT, ECG/CT processing and HPC lets him bridge theory and production-ready ML systems.
11 years of coding experience
14 years of employment as a software developer
High School Diploma, Mathematics and Computer Science, High School Diploma, Mathematics and Computer Science at Specialized Educational and Scientific Center (SSC)Doctor of Philosophy - PhD, Numerical Methods and Computer Simulations for Software, Doctor of Philosophy - PhD, Numerical Methods and Computer Simulations for Software at Ural Federal University
Russian, English
Github Skills (25)
tetgen9
gmsh9
triangle9
tor9
wrapper8
anonymity8
bitcoin8
realtime7
torrent7
cryptocurrency7
bittorrent7
python7
p2p6
crypto6
topology6
Programming languages (3)
Github contributions (5)
nndt-team/nndt
Sep 2022 - Nov 2022
Contributions:311 commits in 2 months
kostaNew/zeronet-easymetrics
Mar 2016 - Mar 2016
Contributions:14 commits, 10 pushes, 1 branch in 3 days
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