Heinrich Lukas

Prof. Heinrich Lukas is a Professor of Data Science in Physics at the Technical University of Munich, affiliated with the TUM School of Natural Sciences and the Department of Physics. His research focuses on experimental particle physics, leveraging advanced data science techniques and computational methods in collaboration with the ATLAS experiment at CERN's LHC. He actively contributes to detector calibration, high-energy collision analysis, and machine learning applications in physics. Recent work includes studies on vector-like quarks, Higgs boson properties, and off-shell phenomena, utilizing cutting-edge simulation-based inference and cloud computing infrastructure. His interdisciplinary projects span from collider physics to healthcare-related studies, such as analyzing dermatitis treatments in clinical registries.

Key research interests include:

• Machine learning-driven particle physics analysis
• Collider data interpretation (ATLAS experiment)
• Jet physics and flavor tagging
• Searches for Beyond Standard Model particles
• Computational infrastructure optimization

Publications (2025) highlight contributions to missing transverse momentum reconstruction, vector-like quark searches, and neural simulation-based inference. Collaborations involve international teams working on ATLAS Run-2 datasets and LHC Run 3 computing frameworks. Current efforts emphasize leveraging AI infrastructure for particle physics while maintaining involvement in medical data analysis.