Summary
Matej Srebre is a security researcher and machine learning practitioner based in Munich with nine years of technical experience spanning malware and firmware analysis, generative deep learning, and particle-physics software. He completed an MSc in Theoretical and Mathematical Physics at LMU, where his two-year thesis built GAN-based high-resolution image generators to synthesize detector backgrounds—halving storage needs for the Belle II collaboration and improving simulation fidelity. Before shifting to physics he studied computer science and continues to combine strong PyTorch expertise and deep learning architecture experimentation with hands-on InfoSec research into UEFI/OEM spyware and persistence mechanisms. He founded XCoreSec as a non-profit focused on privacy-first security research, driven by frustration with large tech non-compliance and a desire to produce public-good tools and findings. Comfortable moving between academic supercomputer simulations and adversarial firmware reverse engineering, he offers a rare blend of physics-grade numerical rigor and practical offensive security skills.
9 years of coding experience
3 years of employment as a software developer
Ludwig Maximilian University of Munich
Informatics, Informatics at Technical University Munich
Computer Science, Computer Science at University of Ljubljana, Faculty of Computer and Information Science
Bachelor's degree, Physics, Bachelor's degree, Physics at University of Ljubljana, Faculty of Mathematics and Physics
English, German, Slovenian