I am a PhD student at the Max Planck Institute for Informatics supervised by Prof. Bernt Schiele as well as Prof. Matthias Hein from the University of Tübingen. I am also collaborating with Nandhini Chandramoorthy from the IBM T. J. Watson Research Center. My research interests lie in deep learning/machine learning and computer vision. Specifically, I am interested in obtaining robust deep neural networks, for example, considering adversarial examples — imperceptibly perturbed images causing mis-classification —, corrupted examples or out-of-distribution examples. Overall, with my research, I want to make deep learning more reliable for practical use in security-critical applications such as autonomous driving. In 2019, I received the Qualcommm Innovation Fellowship to support my research and was selected to participate in the 7th Heidelberg Laureate Forum.


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 and was selected repeatedly for RWTH Aachen University's Dean's List.

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 . Additionally, I got a glimpse of IT consulting as part of Accenture's Future Technology Leaders Program. 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.