ESPUL 2026

Du 20/04/2026 au 30/04/2026

Lyon - France


Accès au programme

Registration open for the Spring School on AI and Machine Learning and their Applications to Biology and Health.

Université Lyon 1, La Doua, Villeurbanne, March 31 - April 3 2026.

Artificial intelligence and machine learning are rapidly transforming our research activity in biological sciences and health. As a result, there is a critical need for making machine learning and AI accessible to everyone currently working in these scientific and applied domains.
To meet those challenges, the DIgitBioMed initiative proposes a 4-day spring school, March 31 - April 3, 2026, on machine learning and AI in Biological and Health sciences. This spring school will provide a basic introduction to machine learning, deep learning, AI, and their applications to biology and health.
In terms of the practical outline, the three days will consist of a combination of basic courses, hands-on sessions, conferences on principles and on applications, round-tables and discussions. Two parallel tracks of hands-on session will be proposed, depending on the level of skills in basic programming and in mathematics and statistics. This is meant to give everyone an opportunity to get an entry point to basic understanding and practical manipulations in machine learning and AI in research today.

Program and Registration (free but required, deadline March 13, 2026):

https://indico.engineering.univ-lyon1.fr/event/29

Prerequisites

knowledge of scripting in Python. Some acquaintance with biological and/or health related sciences.

Eligibility

All MSc, PhD students, post-docs, permanent members are eligible. A priority will be given to MSc and PhD students of the masters, doctoral schools and laboratories associated with the DigitBioMed initiative. For more information about DigitBioMed, its programs and its member labs: https://graduate-plus.fr/digital-sciences-forbiology-and-health/