The goal of the ML- Helio conference is to leverage the advancements happening in disciplines such as machine learning, deep learning, statistical analysis, system identification, and information theory, in order to address long-standing questions and enable a higher scientific return on the wealth of available heliospheric data.

We aim at bringing together a cross-disciplinary research community: physicists in solar, heliospheric, magnetospheric, and aeronomy fields as well as computer and data scientists. ML- Helio will focus on the development of data science techniques needed to tackle fundamental problems in space weather forecasting, inverse estimation of physical parameters, automatic event identification, feature detection and tracking, times series analysis of dynamical systems, combination of physics-based models with machine learning techniques, surrogate models and uncertainty quantification.

The conference will consists of classic-style lectures, complemented by hands-on tutorials on Python tools and data resources available to the heliophysics machine learning community.

The conference will be hosted in hybrid mode (in-person and virtual).

We expect all the participants of Machine Learning in Heliophysics to follow our Code of Conduct.

 

Program

Invited Speakers (confirmed)


Jonhatan Citrin (Deepmind)
Henrik Eklund (ESA)
Opal Issan (UCSD)
Caitriona Jackman (DIAS)
Robert Jarolim (NCAR/HAO)
Sabrina Guastavino (University of Genova)
George Miloshevich (Ku Leuven)
Paul Wright (U. Exeter)

Important dates

15 July 2025:  Abstract submission deadline
31 July 2025:  Early bird registration
15 August 2025:  Late abstract submission deadline -- Poster only --
31 August 2025:   Registration closes
22 - 26 September 2025:  Conference
31 December 2025:  Paper submission for AGU Special Collection
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Registration & Abstracts

Abstract submission is available on this link
Registration is not open yet.

Invitation letter: In case you need an invitation letter, you can make a request to enrico.camporeale@colorado.edu.
Note that invitation letters can only be issued for registered participants.

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Sponsors


If you are interested in sponsoring ML-Helio 2025 you can download the sponsor prospectus here
The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.


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  • Contact: Enrico Camporeale
  • Design: TEMPLATED