Summary
Viktor Reshniak is a Staff Mathematician at Oak Ridge National Laboratory with 11 years of experience at the intersection of applied mathematics and scientific computing. He develops, analyzes, and implements numerical methods for challenging problems in computational mechanics, PDEs, uncertainty quantification, image processing, machine learning, and approximation theory. His work spans theory and production-grade software, including accelerating multilevel Monte Carlo methods during an early ORNL internship. Viktor holds a PhD in Computational Science and an MSc in Computer Science, bringing both rigorous academic foundations and practical engineering skills. Based in Oak Ridge, he combines domain expertise from thermal physics and engineering with modern computational techniques to tackle high-impact scientific simulations. Colleagues appreciate his ability to turn complex mathematical ideas into robust, reusable code for large-scale research projects.
11 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (PhD), Computational Science, Doctor of Philosophy (PhD), Computational Science at Middle Tennessee State University
Master's degree, Thermal Physics, Master's degree, Thermal Physics at Dnipropetrovsk National University
English, Ukrainian, Russian