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.



Invited Speakers

Rafal Angryk (Georgia State University)
Gary Doran (JPL)
Maria Elena Innocenti (Ruhr Universiteit Bochum)
Jay Johnson (Andrews University)
Alan Kaptanoglu (University of Washington)
Maria Molina (NCAR, National Center for Atmospheric Research)
Andres Munoz-Jaramillo (Southwest Research Institute)
Katariina Nykyri (Embry–Riddle Aeronautical University)
Eunsu Park (Kyung Hee University)
Maziar Raissi (University of Colorado)


The Book of abstract can be downloaded here

Oral Presentations are available here

Posters are available here

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Important dates

15 January 2022:  Abstract submission deadline (link)
15 January 2022:  Deadline to apply for travel support
28 February 2022:  Early bird registration
7 March 2022:  Late abstract submission deadline -- Poster only -- (link)
7 March 2022:   In-person registration closes
21 - 25 March 2022:  Conference
31 Decemnber 2022:  Paper submission for AGU Special Collection
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Registration & Abstracts

Registration for virtual participants is still open!
Click here for registration

Registration fees:

  Student (in-person):   $450 (before March 1st) -- $550 (March 1st to March 7th)
Regular (in-person):   $600 (before March 1st) -- $700 (March 1st to March 7th)

  Student (virtual):   $300 (before March 1st) -- $400 (March 1st to March 7th)
Regular (virtual):   $450 (before March 1st) -- $550 (March 1st to March 7th)

The registration fee includes an opening reception and lunches from Monday to Friday.

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.

Abstract submission is available on this link

If you need to make any changes to your registration information, add or remove optional items, or change your registration package from in-person to virtual or vice versa, you can do so by clicking the “Already Registered?” button at the top right corner of this page.

Please note that when you change your registration package from in-person to virtual or vice versa, your original payment will be completely refunded and you must submit a new payment in order to confirm the change. You will be charged for the new registration package based on what the current registration rate is at that time.

You can make modifications to your own registration up until March 7, 2022. After that date you must email for assistance with making any changes.

Travel grants
Eligibility: in order to be considered for a travel grant you must be: 1) a student or 2) have graduated not earlier than 21 March 2019. You also need to have submitted an abstract (submit here)
We have a small number of travel grants. Please apply only if a travel grant is strictly necessary for your attendance to the conference.
Submit your travel grant application here

IMPORTANT: Despite the unprecedented level of uncertainty, we are trying to set up a registration fee that would make the conference accessible for everybody. It would help us tremendously to have an estimate of how many people are planning to attend.
If you plan to attend, please fill this anonymous survey here (do it only once!)
PLEASE NOTE: As per the laws of the state of Colorado and the policies of the University of Colorado Boulder, all registrant should hereby be aware that some portion of the registration fee will be used to purchase alcoholic beverages.
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Call for Papers for "Machine Learning in Heliophysics”
Open for Submissions: 1 April 2022
Submission Deadline: 31 December 2022
Papers can be submitted for consideration to any of the following AGU journal and collected under the 'Machine Learning in Heliophysics' Special Collection:

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Scientific Organizing Committee

Abigail Azari (UC Berkeley)
Hazel Bain (CU Boulder)
Jacob Bortnik (UCLA)
Enrico Camporeale (CU/NOAA, chair)
Mark Cheung (LMSAL)
Veronique Delouille (ROB)
Farzad Kamalabadi (U. Illinois)
Michael Kirk (ASTRA)
Giovanni Lapenta (KU Leuven)
Stefan Lotz (SANSA)
Sophie Murray (Trinity College Dublin)
Naoto Nishizuka (NICT, Japan)
Pete Riley (Predictive Science Inc.)
Simon Wing (APL, Johns Hopkins)

Local Organizing Committee

Linda Pendergrass
Virginia Schultz
Amy Martinez
Curt Davis
Colin Mahoney
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Venue & Travel

The conference will be held at the University Memorial Center in Boulder, CO (USA)

On-Campus Parking Permits Please use the CU Events Parking website link to purchase a $20.00 permit for the conference. Select Sunday March 20 ML-Heliophysics Conference 2022 Find Parking link and complete the requested information (make, model, color, license plate) and make your payment. If you can’t print the permit, save the reply email as documentation. Make sure that you park on the lower levels of the Euclid Parking Garage designated as Lot 205 and not in the Pay-to-Park spaces.


The Denver International Airport is served by all major airlines.
It is about 45 minutes from Boulder by car. A public bus service (RTD) is available. See here.
A number of hotel rooms has been blocked at a special group rate on first-come-first-served basis (available until February 18, 2022).
Space is limited - please book early! The hotel list is available here


If you are interested in sponsoring ML-Helio 2022 you can download the sponsor prospectus here

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