Konstantin is a Postdoctoral Research Associate in Deep Learning at the Mathematical Institute of the University of Oxford, and a Research Fellow in Artificial Intelligence & Machine Learning at Reuben College.
He obtained his doctoral degree (Dr. rer. nat.) in mathematics from the Technical University of Munich summa cum laude in 2024, with a dissertation on the mathematical foundations of interacting multi-particle systems for optimization.
His research interests lie in applied mathematics with a particular focus on the design and numerical analysis of algorithms and methods used in machine learning, data analysis, signal processing, and scientific computing, as well as their interfaces. To elucidate their very often intricate behavior, he employs tools from the analysis of partial differential equations (PDEs), probability theory, statistics, and stochastic analysis together with numerical simulations.
