Academic Teacher for Data Science at HHU Düsseldorf.

Konrad's interests range from computer science to physics, with logics in between. The focus in mathematical research has been on motivic homotopy theory of algebraic varieties and applications. More recently, Konrad has been studying machine learning, in particular manifold learning, topological data analysis, geometric machine learning.