My research revolves around interdisciplary applications using structured deep learning. The main focus of my PhD is attempting to speed up space weather simulation that follows the hybrid-Vlasov formalism.

Experience

  • Visiting researcher at CMCC building an ML based alternative to the operational numerical Mediterranean forecasting system.
  • Visiting researcher at SARAO developing computer vision techniques to deconvolve radio interferometric images.
  • Technical student at CERN working with Kubeflow, a cloud native service supporting scalable end-to-end machine learning pipelines.
  • Further information in my CV.

Publications

article Regional Ocean Forecasting with Hierarchical Graph Neural Networks
Daniel Holmberg, Emanuela Clementi, Teemu Roos
In NeurIPS 2024 Workshop on Tackling Climate Change with Machine Learning, 2024
paper | arxiv | slides | poster
article Jet Energy Calibration with Deep Learning as a Kubeflow Pipeline
Daniel Holmberg, Dejan Golubovic, Henning Kirschenmann
Computing and Software for Big Science, Vol 7, 2023
paper | arxiv | kubecon video | meetup video
article Jet Energy Corrections with Graph Neural Network Regression
Daniel Holmberg
Master’s Thesis, University of Helsinki, 2022
thesis | slides | poster
article Interatomic Fe–Cr potential for modeling kinetics on Fe surfaces
Pekko Kuopanportti, Matti Ropo, Daniel Holmberg, et al.
Computational Materials Science, Vol 203, 2022
paper | arxiv
article Potentialmodeller vid simulering av Fe-Cr
Daniel Holmberg
Bachelor’s Thesis, University of Helsinki, May 2019
thesis | slides

Talks

Regional Ocean Forecasting with Hierarchical Graph Neural Networks CMCC Seminar :it:
CERN ML Platform CMG Group Meeting :switzerland:
Jet Energy Corrections with GNN Regression using Kubeflow at CERN KubeCon Valencia :es:
Jet Energy Corrections with Graph Neural Network Regression Learning to Discover :fr:
Centralized Management of Your Machine Learning Lifecycle CERN IT Technical Forum :switzerland:
Jet Energy Corrections with DNN Regression CMS Machine Learning Forum :switzerland:
Emerging Computing Architectures Distributed ML Seminar :finland:
Top Quark Mass Measurement LPC CMS Data Analysis School ㅤ