I am a research scientist at Google DeepMind interested in robust and safe deep learning. Before, I was a PhD student at the
Max Planck Institute for Informatics
supervised by
Bernt Schiele
and
Matthias Hein
. In 2021, I interned at DeepMind, working with Taylan Cemgil, Krishnamurthy (Dj) Dvijotham and Arnaud Doucet. Throughout my PhD, I also collaborated with Nandhini Chandramoorthy from the IBM T. J. Watson Research Center and volunteered in the PhdNet survey group.
For my PhD, I received the DAGM MVTec Dissertation Award 2023 and was supported by a Qualcommm Innovation Fellowship 2019. Furthermore, my work on bit error robustness was selected as outstanding paper at CVPR 2021 CV-AML, I was selected to participate in the 7th and 10th Heidelberg Laureate Forum 2019 and 2023, and my work on 3D reconstruction received the STEM-Award IT 2018. I was also recognized as outstanding/top reviewer for CVPR, ICML and NeurIPS in several years.
Full CV
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
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
Irfan Essa
on video segmentation. For my bachelor thesis, I worked on superpixel segmentation under the supervision of
Bastian Leibe
and
Alexander Hermans
. 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 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.
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
Twitter
,
LinkedIn
,
Xing
,
Google Scholar
and YouTube profiles.