Summary
Alexander Froch is a postdoctoral researcher at the Université de Genève working on the ATLAS experiment at CERN, specializing in machine learning methods for jet flavour tagging. With eight years of experience spanning a PhD in physics from Freiburg and advanced studies at TU Dortmund, he blends deep experimental HEP knowledge with practical ML tooling. His work focuses on improving particle-jet origin identification—an area that tightens signal-background separation in collider analyses and directly impacts precision measurements. Based in Meyrin, Geneva, he brings both academic rigor and hands-on implementation to large collaborative experiments, often translating complex detector data into deployable ML models. Notably, his profile reflects rapid progression from doctoral research to consecutive postdoctoral roles, underscoring adaptability and momentum in high-energy physics research.
8 years of coding experience
Master of Science - M. Sc., Physics, 1.5, Master of Science - M. Sc., Physics, 1.5 at Technische Universität Dortmund
Ph.D., Physics, Ph.D., Physics at Albert-Ludwigs-University Freiburg
German, English