Konstantin Pieper

I joined the Computational and Applied Mathematics Group in June 2019 after obtaining my Ph.D. at the Technical Unversity of Munich (working with Boris Vexler) and a PostDoc at the Florida State University (working with Max Gunzburger). My research is focused on developing new optimization and discretization methods in the context of applications involving machine learning, optimal design of experiments, and climate modeling. Currently, I am applying infinite dimensional sparse optimization techniques to enhance the interpretability of neural networks and improve their training procedures.