7th Inter-Experimental LHC Machine Learning Workshop

Session

Keynotes Physics + ML

19 May 2025, 16:30

222/R-001 (CERN)

14. Neural Simulation-Based Inference for HEP

Aishik Ghosh (University of California Irvine (US))

19/05/2025, 16:30

Aishik Ghosh is an incoming professor of AI and physics at Georgia Institute of Technology and currently a postdoctoral scholar at UC Irvine and an affiliate at Berkeley Lab. His focus is on designing high-dimensional statistical methods including uncertainty quantification tools for reliable applications across particle and astrophysics. He also applies AI tools for theoretical physics model...

19. AI & HPC

Eric Wulff (CERN)

20/05/2025, 09:00

Eric Wulff is a data scientist and machine learning engineer in the Frontier Technologies and Initiatives group in the CERN IT department. He specializes in developing and applying AI models to address complex scientific and technical challenges, leveraging large-scale high-performance computing (HPC) systems for distributed training and hyperparameter optimization. As part of CERN openlab’s...

18. Summary of Calo Challenge

Dr Claudius Krause (HEPHY Vienna (ÖAW))

23/05/2025, 09:00

Claudius Krause studied physics in Cottbus, Munich, and Lausanne. He received his doctorate in 2016 from Ludwig-Maximilians University Munich, working on “Higgs Effective Field Theories - Systematics and Applications”. He was a postdoctoral researcher at IFIC Valencia in Spain, Fermilab and Rutgers University in the USA, and the University of Heidelberg in Germany. About 6 years ago, he...