The goal of this first 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.

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

  Register your interest here

Download the poster


Invited Speakers

Daniel Baker, University of Colorado
Joe Borovsky, Space Science Institute
Cyril Furtlehner, INRIA Paris
George Karniadakis, Brown University
Adam Lesnikowski, NVIDIA
Robert McPherron, UCLA
Naoto Nishizuka, NICT (Japan)
Barbara Thompson, NASA Goddard
Peter Wintoft, Swedish Institute of Space Physics


Coming soon...
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Important dates

14 April 2019:  Abstract submission deadline
19 May:  Deadline to apply for travel support
31 May:  Early bird registration
31 July:  Final registration deadline
16-20 September 2019:  Conference
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Registration & Abstracts

Registration is open on this link
Registration fees:

Early-bird rate (until 31 May):   400 EUR
Single-day conference ticket:   150 EUR
Full rate (after 31 May):   500 EUR

The registration fee includes an opening reception and lunches from Monday to Friday.
Any attendee can only purchase one single-day conference ticket.

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

The abstract submission is now close.
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Scientific Organizing Committee

Hazel Bain (CU Boulder)
Monica Bobra (Stanford)
Jacob Bortnik (UCLA)
Enrico Camporeale (CU/CWI, chair)
Mark Cheung (LMSAL)
Veronique Delouille (ROB)
Farzad Kamalabadi (U. Illinois)
Michael Kirk (NASA)
Giovanni Lapenta (KU Leuven)
Stefan Lotz (SANSA)
Sophie Murray (Trinity College Dublin)
Bala Poduval (CWI)
Pete Riley (Predictive Science Inc.)
Simon Wing (APL, Johns Hopkins)

Local Organizing Committee

Mandar Chandorkar
Bala Poduval
Rakesh Sharma
Carl Shneider
Jannis Teunissen
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Venue & Travel

The conference will be held at The Royal Tropical Institute - Koninklijk Instituut voor de Tropen (KIT), a short walk from the 17th century UNESCO World Heritage Amsterdam Canal Ring.
Address: Mauritskade 64, 1092 AD Amsterdam


The Amsterdam (Schiphol) Airport is served by all major airlines. It is about 30 minutes from the city center, by train, bus or taxi. See here for transfer options.


For Hotel registration please click here

It has come to our attention that 'Business Travel Management' [] has been sending out emails regarding hotel bookings for ML-Helio 2019. Please note that BTM is not affiliated with the congress. Please do not provide them your credit card details.
What to do if you have been contacted by a scam company about booking hotels?
1. If you have given out your credit card information to BTM or anyone who called you about booking hotel rooms for the ML-Helio 2019, call your credit card company immediately, alert them to the scam, and deny the charge.
2. Change your online passwords and PINs to prevent fraudsters from doing any further damage.
3. Continue to monitor your credit card to look for fraudulent charges. Request further information from your credit card company regarding closing your account or issuing a new card.


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