My research revolves around interdisciplary applications of machine learning. The main focus of my PhD is applying ML to identify interesting phenomena arising in the plasma surrounding Earth at the magnetosphere.
Experience
- Technical student at CERN working with Kubeflow, a cloud native service supporting scalable end-to-end machine learning pipelines
- Research assistant at Helsinki Institute of Physics, calibration of particle jets at the CMS experiment
- Full-stack developer at Fjuul devloping a mobile application for health tracking
- Research assistant at Helsinki Accelerator Laboratory where we simulated iron-chromium alloys using molecular dynamics
- Further information in my CV.
Publications
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Jet Energy Calibration with Deep Learning as a Kubeflow Pipeline Daniel Holmberg, Dejan Golubovic, Henning Kirschenmann Computing and Software for Big Science, Vol 7, Aug 2023 paper | arxiv | kubecon video | meetup video |
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Jet Energy Corrections with Graph Neural Network Regression Daniel Holmberg Master’s Thesis, University of Helsinki, Feb 2022 thesis | slides | poster |
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Interatomic Fe–Cr potential for modeling kinetics on Fe surfaces Pekko Kuopanportti, Matti Ropo, Daniel Holmberg, et al. Computational Materials Science, Vol 203, Feb 2022 paper | arxiv |
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Potentialmodeller vid simulering av Fe-Cr Daniel Holmberg Bachelor’s Thesis, University of Helsinki, May 2019 thesis | slides |
Talks
| CERN ML Platform | CMG Group Meeting |  |
| Jet Energy Corrections with GNN Regression using Kubeflow at CERN | KubeCon Valencia |  |
| Jet Energy Corrections with Graph Neural Network Regression | Learning to Discover |  |
| Centralized Management of Your Machine Learning Lifecycle | CERN IT Technical Forum | |
| Jet Energy Corrections with DNN Regression | CMS Machine Learning Forum | |
| Top Quark Mass Measurement | LPC CMS Data Analysis School | ㅤ |
| Atmospheric Aerosol Modeling | HU Data Science Project |  |
| Emerging Computing Architectures | HU Distributed ML Seminar | |
| Interatomic Potentials for Fe-Cr | Helsinki Accelerator Laboratory Simumeet | |
Workshops
| Arnold Sommerfeld School: Physics meets Artificial Intelligence | Ludwig Maximilian University |
| Plasma Physics Meets AI: Workshop on Subgrid-scale Modeling for Turbulence | Aalto University |
| Representation Learning over Graph Data | Institut Pascal |
| CMS ML Hackathon: Jet tagging | CERN IdeaSquare |
| LPC CMS Data Analysis School | Remote, Fermilab |
| CodeRefinery instructor training | Remote, TU Delft |
| First online mega-CodeRefinery | Online |