Alexander Litvinenko
Group Leader In UQ at RWTH Aachen University
Aachen, North Rhine-Westphalia, Germany
Summary
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Senior🎓
Top SchoolAlexander Litvinenko is a Group Leader in Uncertainty Quantification at RWTH Aachen with over a decade of experience developing low-rank tensor and hierarchical matrix methods for multi-parameter PDEs, Bayesian inverse problems, data assimilation, and optimal experimental design. His work bridges deep mathematical theory and high-performance computing, delivering scalable parallel algorithms to tame massive covariance matrices and accelerate stochastic Galerkin and Polynomial Chaos workflows. Previously at KAUST and the Max-Planck Institute, he applied these techniques to real-world challenges in aerodynamics and industrial collaborations with companies like Aramco, Boeing, and Baker Hughes. Comfortable writing proposals and building industry partnerships, he combines hands-on implementation with leadership in multidisciplinary projects. A PhD-trained mathematician from Leipzig, he uniquely blends multi-linear algebra expertise with practical experience in minimizing uncertainty across engineering domains.
10 years of coding experience
12 years of employment as a software developer
Master’s Degree, Applied Mathematics, Master’s Degree, Applied Mathematics at Sobolev Institute of MathematicsHigh School, Mathematics and physics, High School, Mathematics and physics at Physical Mathematical School at Novosibirsk State UniversityPh.D., Mathematics, Ph.D., Mathematics at Leipzig UniversityMathematics, Mathematics at Almaty, 118Bachelor’s Degree, Applied Mathematics, Bachelor’s Degree, Applied Mathematics at Novosibirsk State University (NSU)
English, German, Russian, Dutch
Github Skills (4)
stochastic5
octave4
matlab4
toolbox3
Github contributions (5)
litvinen/inlapardiso
Jan 2018 - Nov 2021
Contributions:45 pushes, 1 branch in 3 years 11 months
litvinen/large_random_fields
Jan 2021 - Mar 2021
Contributions:29 commits, 22 pushes, 1 branch in 1 month
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