Machine Learning, Big Data, and Deep Learning in Astronomy

A Severo Ochoa School of the Instituto de Astrofísica de Andalucía (CSIC)


Material related to the lectures and exercises can be found on this site:


The IAA-CSIC Severo Ochoa School on Machine Learning, Big Data, and Deep Learning in Astronomy (SOMACHINE 2020) will be held at the Instituto de Astrofísica de Andalucía (CSIC), Granada, from Monday 23rd to Friday 27th of November 2020. It is co-organised by the IAA-CSIC and DaSci and is directed at researchers in astrophysics of all levels and aims at providing them with a thorough background in the advanced data processing techniques of Machine Learning, Big Data, and Deep Learning. Classes will be taught by experts from the Andalusian Institute of Data Science and Computational Intelligence (DaSCI) of the University of Granada (UGR), one of the leading research institutes in its field. The theoretical lessons will be complemented by practical hands-on lessons and lectures on applications of Machine Learning, Big Data, and Deep Learning in astrophysical research. Given the current health emergency this School will be held online.

We encourage participants to ask questions that relate their problems to those presented in the lectures. There will be time for questions after each lecture. If you have a specific problem and would like it to be discussed in the lectures, then you can send in information/data/a slide (best all of them). In that case, please do this well in advance (3-4 weeks before the school; send to


Because of the interactive character of the school the number of participants will be limited to 50


  • Francisco Herrera, Universidad de Granada​

  • Salvador García, Universidad de Granada

  • Julián Luengo, Universidad de Granada

  • Juan Antonio Cortés, Universiadad de Granada

  • Marc Huertas-Company, Université Paris Diderot - Observatoire de Paris - IAC

  • Alberto Fernández, Universidad de Granada

  • Diego García, Universidad de granada

  • Federica Bianco, University of Delaware

  • Wil O Mullane, Rubin Observatory (LSST)

  • David Charte, Universidad de Granada

  • Alberto Castillo, Universidad de Granada

  • Ashish Mahabal, Caltech

  • Javier Moldón, IAA

  • Anna Bonaldi, SKAO 

  • Wolfgang Kerzendorf, Michigan State University

  • Andrés Asensio, IAC

  • Anabel Gómez, Universidad de Granada

  • Siham Tabik, Universidad de Granada


  • Monday, 23 Nov 2020: Machine Learning

  • Tuesday, 24 Nov 2020: Machine Learning

  • Wedneday, 25 Nov 2020: Big Data

  • Thursday, 26 Nov 2020: Deep Learning

  • Friday, 27 Nov 2020: Applications in Astronomy


Scientific Organizing Committee

  • Rainer Schoedel ​(IAA-CSIC)

  • Francisco Herrera (University of Granada)

  • Salvador García (University of Granada)

Local Organizing Committee

  • Alicia Pelegrina López (IAA-CSIC)

  • Manuel González García (IAA-CSIC)




All participants should have a laptop or desktop available. 

The practical sessions will rely on Jupyter notebooks and the participants should have (ideally) Anaconda installed.

Further details will be announced in due time



How to register?

To formalize the participation you must fill in the mandatory fields in the registration form below. Payment can be made by bank transfer or credit card through the registration platform. If bank transfer is chosen, you must state clearly the name and the reference received by email. An inscription will only become valid once the fee has been paid.

Registration fee

The registration before October 31st is 50€.


After October 31st a surcharge of 20€ will be applied to the registration fee. The number of participants will be limited to 50

The workshop is complete



Funding: The organisers acknowledge financial support from the State Agency for Research of the Spanish MCIU through the "Center of Excellence Severo Ochoa" award to the Instituto de Astrofísica de Andalucía (SEV-2017-0709).

Technical Secretariat: Baobab Eventos · Granada Congresos  ·