I am interested in machine and human learning of mathematics and computer science.
My current main research interest lies in algorithmic learning theory with its connections to artificial intelligence, cognitive science and various areas of computer science. I aim at giving an intuition about how memory restrictions and desired properties of the learner's behavior (while learning) effect what is learnable. For this I provide and employ insights from computability theory and descriptive set theory.
10/2017 International Conference on Algorithmic Learning Theory 09/2017 Herbsttagung des GDM-Arbeitskreises Mathematik und Bildung 08/2017 Arbeitstreffen Computability and Reducibility 02/2017 Jahrestagung der Gesellschaft für Didaktik der Mathematik 07/2016 International Congress on Mathematics Education 02/2011 Winter School in Abstract Analysis Section Set Theory 01/2010 Indian School on Logic and its Applications
Our research focus is on theoretical computer science and algorithm engineering. We are equally interested in the mathematical foundations of algorithms and developing efficient algorithms in practice. A special focus is on random structures and methods.