I work in Research & Development of low‑latency real‑time machine learning and data analytics techniques, applied to robotics control and industrial automation settings. Otherwise, I am very interested in science, economics and all‑things‑tech.
In 2017 I joined Beckhoff Automation, one of the world’s major innovators in the area of industrial automation, build around an entirely software-based approach using regular PC hardware. Before that, from 2012 to 2017, I managed the software focused research collaborations of the DMG MORI group, including the projects of the “it's OWL” research cluster.
My formal research work in the area of string theory was focused on F-theory phenomenology and related mathematical questions, ultimately trying to unify gravity and particle physics. After completing a PhD at the Max Planck Institute for Physics in Munich, I continued as an NSF-funded post-doc at the Northeastern University in Boston, USA.
Computers, electronics and fundamental science have been at the center of my interest for as long as I can remember. Since leaving academia, I have been very interested in AI/ML research (deep learning and neural networks) as well as blockchain technology. When I find the time, I also try to keep this website updated…