Summary
Sofya Dymchenko is a PhD student in Informatics at Université Grenoble Alpes with eight years of experience at the intersection of mathematics, machine learning, and computational methods. Her research and internships span optimal transport, mesh adaptation, and generative deep learning for speech enhancement and personalized noise redaction, reflecting a strong blend of theoretical and applied skills. She has a track record in teaching and curriculum design—winning a Best Course award for an "Introduction to Python" class she organized and open-sourcing all course materials for broad reuse. Comfortable moving between research and hands-on implementation, she has contributed to projects at Inria, Skolkovo, Huawei and the Higher School of Economics. Based in Grenoble, she leverages a dual background in mathematics and computer science to tackle complex numerical and ML problems. Notably, she combines rigorous academic training with practical teaching experience, making her well-suited for research roles that value reproducibility and pedagogy.
8 years of coding experience
Doctor of Philosophy - PhD, Informatics, Doctor of Philosophy - PhD, Informatics at Université Grenoble Alpes
Master's degree, Mathematics and Computer Science, Master's degree, Mathematics and Computer Science at Skolkovo Institute of Science and Technology
Master's degree, Mathematics and Computer Science, Master's degree, Mathematics and Computer Science at Higher School of Economics
French, English