I am a PhD student at the Max Planck Institute for Informatics supervised by Prof. Bernt Schiele and Prof. Matthias Hein . My research interests lie in computer vision and deep learning. Specifically, I am interested in adversarial examples — imperceptibly perturbed images fooling deep neural networks; by understanding the phenomenon of their existence, I want to make deep learning more reliable. In 2019, I received the Qualcommm Innovation Fellowship to support my research.

Previously, I obtained both a bachelor and a master degree from RWTH Aachen University . For my master thesis, I worked on weakly-supervised 3D shape completion under the supervision of Prof. Andreas Geiger from the Max Planck Institute for Intelligent Systems and received the STEM-Award IT 2018 as well as the Springorum-Denkmünze . As part of my master degree, I also had the opportunity to spend a semester at Georgia Tech , funded by a scholarship from the Hans Hermann Voss Foundation , working with Prof. Irfan Essa on video segmentation. For my bachelor thesis, I worked on superpixel segmentation under the supervision of Prof. Bastian Leibe . Throughout my studies, I received the Germany Scholarship partly funded by DSA Daten- und Systemtechnik GmbH.

Over the last few years, I worked for RS Computer , Fraunhofer FKIE , the Computer Vision Group and MATHCCES at RWTH Aachen University , Fyusion , MOBIS and Microsoft . Occasionally, I still do consulting and web development.

On this blog you will find articles, reading notes and some projects — which can also be found on GitHub or ShortScience . Here's my CV , some mission statements , as well as LinkedIn , Xing , and Google Scholar profiles.