Alexandre De Moor

Alexandre De Moor is a postdoctoral researcher in Physics at Vrije Universiteit Brussel. His work focuses on high-energy particle physics, particularly in analyzing data from the Large Hadron Collider (LHC) experiments. He contributes to the CMS Collaboration, focusing on top quark physics, Higgs boson studies, and searches for supersymmetric particles. His research involves advanced analysis techniques including machine learning for jet flavor tagging and detector performance optimization for upcoming collider experiments like FCC-ee.

Key research interests include:

• Top quark mass measurements and charge asymmetry studies
• Higgs boson couplings and decay channels
• Supersymmetry particle detection in proton-proton collisions
• Neural network applications in collider physics

Notable contributions include combining ATLAS and CMS top quark mass measurements, developing jet tagging algorithms, and analyzing CMS Phase-2 tracker prototype performance. His work addresses fundamental questions in particle physics such as Standard Model validation and exploration of beyond-Standard-Model phenomena.