Dr. Konstantin Riedl, a former mathematics doctoral student at the Technical University of Munich (TUM), recieves the Doctoral Award of the Friends of TUM e.V. This prize is given for outstanding doctoral theses at TUM and recognizes Riedl’s dissertation as one of the best across the entire campus.
Riedl earned his doctorate summa cum laude in 2024 at the Chair of Applied Numerical Analysis at TUM School of Computation, Information and Technology. His dissertation focused on the mathematical foundations of interacting multi-particle systems for optimization, a field that is central to the advancement of algorithms in machine learning, data analysis, and scientific computing. His work combines rigorous mathematical analysis with practical applications, standing out for its theoretical precision and relevance to modern technologies.
Following his doctorate, Riedl now works as a Postdoctoral Research Associate at the Mathematical Institute of the University of Oxford and as a Research Fellow in Artificial Intelligence & Machine Learning at Reuben College. His current research interests include the development and analysis of algorithms for machine learning, signal processing, and scientific computing, employing methods from the analysis of partial differential equations (PDEs), probability theory, statistics, and stochastic analysis.
In addition to the award from the Friends of TUM, Riedl also received the Dissertation Prize of the Department of Mathematics at TUM for his outstanding work. These awards recognize not only his scientific excellence but also his contribution to bridging mathematics and modern technologies.