A nilearn tutorial

Nilearn Dev Days — 19-22 May 2020

Join online the Nilearn development community and shape what's next

Nilearn Dev Days: Science and Software

Nilearn is a Python tool that has historically focused on statistical learning with volumetric magnetic resonance imaging (MRI) data. With the recent merge Nistats, the Nilearn mission statement has been expanded:

Nilearn enables approachable and versatile analyses of brain volumes. It provides statistical and machine-learning tools, with instructive documentation & a friendly community.

In the 2020 Dev Days, we hope to increase the awareness of Nilearn’s development philosophy and onboard new contributors to our community. We also hope to highlight future directions where we are especially excited to see community-driven development efforts.

The talks for the Software Development and Scientific days will be freely available with public links shared below.


The Dev Days will be a four-day event from 19-22 May, all online, at times convenient both for Europe and Eastern America:

Event Details Time
Software development day (Speakers) Best practices in scientific software development and how these are reflected in Nilearn’s development philosophy 19 May
Coding Sprint for Nilearn (Register) Improve and extend the Nilearn library under the guidance of the Nilearn team. For developers and experienced users. 20-21 May
Scientific day: Machine Learning in Neuroimaging (Speakers) Applications of machine learning in Neuroimaging 22 May


For the two mini-conferences (Software Development Day and Scientific Day):

For the Code Sprint, we strongly encourage registration, which can be done here.


Organizers: Bertrand Thirion, Elizabeth DuPre, Gaël Varoquaux, Jérôme Dockès, Kshitij Chawla, Thomas Bazeille.

Please contact the Nilearn Events team if you have questions, or want to participate in any of the events.

Supported by

The Human Brain
Project Unifying AI and Neuroscience – Québec (UNIQUE)

This event benefits from the European Union’s Horizon 2020 Research and Innovation Programme under Grant Agreement HBP SGA3, as well as support from the UNIQUE center, Unifying AI and Neuroscience – Québec.