Jean-Loup Tastet

Jean-Loup Tastet is a Postdoc (Researcher) in the Machine Learning Section at the Department of Computer Science, University of Copenhagen. His work bridges machine learning with applications in physics, including particle collision analysis and detector design.

• Email: jeta@di.ku.dk

His research spans theoretical and applied machine learning, with specific focus areas including:

• Collider physics and particle interaction modeling
• Detector development for neutrino and dark matter experiments
• Data analysis techniques for high-energy physics
• Knowledge distillation and model compression in AI

The articles analyzed suggest a strong emphasis on using machine learning to uncover new physics signals (e.g., ALPs, HNLs) and optimize experimental workflows. Recent collaborations include projects at CERN and the SHiP experiment, with applications to proton interactions and dilepton displaced vertex detection.

Jean-Loup is affiliated with the SCIENCE AI Centre at the University of Copenhagen, which integrates machine learning research across theoretical and applied domains.