Nikolas started his PhD in October 2021 and is Co-Supervised by Christian Baumgartner and Matthias Hein. He is mainly focusing on the creation of robust ML-methods for medical image analysis, for which physical informed networks could be of relevance. Prior to that he worked at a ML-Research department at SAP and as a quantitative consultant at d-fine.
Education
M.Sc. Physics and Astronomy | University of Heidelberg | 2019
B.Sc. Physics and Astronomy | University of Nijmegen Netherlands | 2016
Jan Nikolas’s publications in our group