Alexey Voronin
Scientific Computing | Machine Learning | HPC
- Role
- Postdoctoral Researcher at Sandia National Laboratories
- Location
- Chattanooga, TN, US
- LinkedIn followers
- 500 followers
About Alexey Voronin
Researcher at Sandia National Laboratories, developing scalable numerical methods at the intersection of scientific computing and machine learning. My work focuses on multilevel solvers, PDE-constrained optimization, and neural network training with emphasis on sparsity, physical consistency, and models that generalize meaningfully across scales.
Experience
Postdoctoral Researcher
Jun 2024 — Present
Education
Stanford University
Master's degree, ICME
Stanford University
Institute for Computational & Mathematical Engineering (ICME), Scientific Computing and Numerical Analysis
University of Illinois Urbana-Champaign
Doctor of Philosophy - PhD, Computer Science
Argonne Training Program on Extreme-Scale Computing (ATPESC)
Additional Education, Extreme Scale-Computing
UC San Diego
Bachelor of Science (BS), Computational Physics and Applied Mathematics
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