In-person + Virtual
16 -20 May
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Daniel Holmberg

CERN
Technical Student
Geneva, Switzerland

danielholmberg.fi

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Daniel is a technical student at CERN investigating deep learning applications for the CMS experiment. A special focus of his work is on promoting the Kubeflow platform to the high energy physics community at CERN, and developing examples for running physics analyses on it. Daniel has previously worked in particle physics research at Helsinki Institute of Physics and computational materials physics research at Helsinki Accelerator Laboratory.

My Speakers Sessions

17:25 CEST

Jet Energy Corrections with GNN Regression using Kubeflow at CERN - Daniel Holmberg & Dejan Golubovic, CERN Pavilion 3, Room G | Level 2 | Central Forum