- PhD, Computer Science, University of Siegen, 2021
- MS, Mathematics, University of Münster, 2016
Jonas is a postdoctoral researcher at UMD. His background is in Mathematics, more specifically in mathematical optimization and its applications to deep learning. His current focus is on designing more secure and private ML systems, especially for federated learning, and on understanding fundamental phenomena behind generalization.