Summary
Konstantin R is a postdoctoral researcher in deep learning at the University of Oxford with nine years of experience bridging applied mathematics, numerical analysis, and machine learning. His work spans optimization, inverse problems, compressed sensing, and uncertainty quantification, informed by a summa cum laude doctorate from TUM in Applied Numerical Analysis, Optimization, and Machine Learning. He has a strong interdisciplinary record—research fellowships and affiliations at Oxford, TUM and the Munich Center for Machine Learning, plus projects on social media dynamics and AI ethics—combining rigorous theory with real-world data analysis. Konstantin also explores usability and augmented reality through Unity3D, reflecting a practical interest in human-centered ML applications. Colleagues value him for translating advanced measure-theoretic and multilevel numerical methods into scalable algorithms for complex, multi-agent and control problems.
8 years of coding experience
Abitur, 1.0, Abitur, 1.0 at Kepler-Gymnasium Weiden
Dr. rer. nat., Applied Numerical Analysis, Optimization, and Machine Learning, summa cum laude, Dr. rer. nat., Applied Numerical Analysis, Optimization, and Machine Learning, summa cum laude at Technische Universität München
German, English