I work in R&D for Machine Learning at Beckhoff Automation, specifically in applications of ML/A.I. and data analytics to real-time industrial settings, along with some associated product management. Otherwise, I am highly interested in all‑things‑tech and science.
I joined Beckhoff Automation in 2017, one of the world’s major innovators in the area of industrial automation. Before that, from 2012 to 2017, I managed the software focused research collaborations of the DMG MORI group (formerly known as Gildemeister AG), including the projects of the “it's OWL” research cluster.
My academic research work in the area of string theory was focused on F-theory phenomenology and related mathematical questions. I hold a PhD in theoretical physics from the LMU Munich, based on research carried out at the Max Planck Institute for Physics and 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. More recently, I have been very interested in AI research (deep learning and neural networks) and blockchain technology. When I find the time, I code tools, try to keep this website updated or write the occasional article.