Konstantin Riedl

Konstantin is a PhD student in the Applied Numerical Analysis group at the School of Computation, Information and Technology of the Technical University of Munich. 
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 and signal processing. To understand their very often intricate behavior, he employs tools from PDE analysis and stochastic analysis together with numerical simulations.