Summary
Johannes Heuel is a data scientist with a decade of experience at the intersection of experimental particle physics and machine learning, currently working at CERN on analysis of rare beauty-quark decays and detector simulation for LHCb. Trained in physics (BSc/MSc TU Dortmund) and seasoned through a PhD at RWTH Aachen, he combines advanced statistical modelling, ML methods, and large-scale collaboration skills developed in high-stakes scientific environments. He has practical expertise building simulation and monitoring algorithms for novel scintillating fiber detectors and a track record of teaching and presenting complex results to diverse audiences. Outside of research he prototypes electronics and implements web services, reflecting a hands-on approach to turning experimental ideas into deployable tools.
10 years of coding experience
Master of Science (M.Sc.), Physics, Master of Science (M.Sc.), Physics at TU Dortmund University