
About
Tobias Golling is a Professor at the University of Geneva, Department of Nuclear and Particle Physics, actively involved in the ATLAS experiment at CERN. His research spans high-energy physics, machine learning applications in particle physics, and neutrino reconstruction techniques.
- Role: Academic leader in ATLAS collaboration
- Location: Office AEM 025
Research Interests
- Developing diffusion models and normalizing flows for particle cloud generation
- Advancing anomaly detection in jet physics through machine learning
- Applying graph neural networks to topological reconstruction of particle processes
Article Trends show a focus on integrating maximum likelihood estimation, optimal transport, and conditional flows into high-energy physics simulations. Key domains include neutrino reconstruction, event generation, and ML-driven detector optimization.
Supervision includes doctoral student Bálint MÁTÉ. Collaborations frequently involve Prof. Voloshynovskiy and the ATLAS collaboration.
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