Ivan Maliyov is a computational physicist and code-focused researcher with nine years of experience developing first-principles simulations of electron and thermal transport and nonequilibrium dynamics. He has led interdisciplinary projects across top research institutions and industry—most recently working on device simulations for quantum computing at Microsoft after postdocs at EPFL, CNRS and Caltech—bridging scientific software engineering with machine-learning-driven uncertainty quantification and inverse design. Skilled in real-time density functional theory, electron-phonon transport, and Bayesian optimization, he builds robust simulation tools that translate advanced theory into practical device insights. Based in Copenhagen, he combines deep theoretical training (École Polytechnique, Karazin) with hands-on code development in condensed matter and materials science, often tackling problems where experimental observables must be inferred from noisy computational models.
9 years of coding experience
5 years of employment as a software developer
Master's degree, Physics, Master's degree, Physics at Ecole polytechnique
Master's degree, Medical Physics, Excellent, Master's degree, Medical Physics, Excellent at V. N. Karazin Kharkiv National University
Contributions:94 PRs, 110 pushes, 1 branch in 8 months
project-website
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