Summary
Matthias Freiberger is an expert research engineer with a decade of experience designing robust, adaptive machine learning systems and translating academic advances into industrial edge AI solutions. His career bridges postdoctoral research roles and applied R&D—ranging from neuromorphic computing and embedded accelerators at imec to research scientist positions at university labs and the Pioneer Centre for AI—culminating in his current role at Barco. He combines deep academic rigor (PhD and multiple postdocs) with hands-on engineering, having led a €2.91M reconfigurable AI grant and delivered production-focused prototypes for industry partners. Based in Ghent, he’s a cybernetics enthusiast who pursues resilient, hardware-aware ML and often works at the intersection of algorithm design and constrained-device deployment. Notably, his background spans both low-level embedded systems and high-level research, enabling pragmatic solutions that are scientifically grounded.
10 years of coding experience
13 years of employment as a software developer
Technische Universität Graz