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European Laboratory for Learning and Intelligent Systems

ELLIS fosters international collaboration across domains, connecting top researchers while investing in the next generation of AI talent.

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Members

ELLIS Members are leading scientists in machine learning and AI, shaping Europe's global position in these fields.

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About

ELLIS is a network of excellence connecting top AI researchers across European borders to strengthen the leadership of AI made in Europe.

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Upcoming Events

Discover all types of events happening in the ELLIS Network. From Summer Schools to online workshops, there are plenty of opportunities to meet ELLIS members and disscuss cutting-edge machine learning research with other AI scientists in Europe.

Explore ongoing lecture series put on by ELLIS Sites

Find and join a PhD/Postdoc Reading Group

February

AI for Good From Molecules to Models Webinar Series with Mario Figueiredo with a photo of Mario

February 18th, 2026 • Virtual

AI for Good Webinar: Mario Figueiredo

Topic: The why of AI: Uncovering cause and effect in observational data

Webinar

ELLIS PhD & Postdoc Program ELLIS-ELLIOT Reading Group Human-Centric Machine Learning

February 19th, 2026 • Virtual

ELLIS-ELLIOT Reading Group: Human-Centric Machine Learning Session

A reading group focused on human-centric machine learning organized by students in the ELLIS PhD Program and the ELLIOT Young Researcher Group.

Talk

March 3rd, 2026 • ENS – Department of Biology (IBENS), Paris, France / Hybrid

ELIAS, ELLIOT & ENFIELD Theme Development Workshop on Trustworthy AI

Join us for the ELIAS, ELLIOT & ENFIELD Theme Development Workshop on Trustworthy AI, bringing together leading researchers and industry experts to explore the technical, ethical, and environmental challenges of deploying reliable, fair, and sustainable AI systems.

Workshop

Toward Trustworthy AI Modeling for Computational Healthcare @EMBL, Heidelberg on March 9, 2026

March 9th, 2026 • EMBL in Heidelberg

ELSA Workshop “TrustworthyAI4Health: Toward Trustworthy AI Modeling for Computational Healthcare”

The event is dedicated to advancing private, fair, robust, reliable, and accountable AI models for healthcare applications to unite machine learning researchers, privacy and fairness specialists, experts in data governance and ethics, computational health and biology researchers,...

Workshop

ELLIS Winter School at Unit Jena in Athens with a photo of Athens at night

March 16th - March 20th, 2026 • National Technical University of Athens

ELLIS Winter School co-organised by Unit Jena in Athens

Topic: AI for Earth System, Hazards & Climate Extremes

Winter School

March 23rd - March 26th, 2026 • Tübingen

Conference on Parsimony and Learning (CPAL)

The Conference on Parsimony and Learning (CPAL) is an annual research conference focused on addressing the parsimonious, low-dimensional structures that prevail in machine learning, signal processing, optimization, and beyond.

Conference

March 24th - March 27th, 2026 • Tolhuistuin, Amsterdam

ELLIS Winter School at Unit Amsterdam

Topic: Foundation Models

Winter School

April 27th, 2026 • Gustave Tuck Lecture Theatre, London

UCL IMSS Annual Lecture on ‘Computational Statistics and Machine Learning’ by Dr Lester Mackey

This year’s annual lecture of the Institute for Mathematical and Statistical Sciences (IMSS) will focus on the theme of ''Computational Statistics and Machine Learning''. The event is co-organised by ELLIS Unit London at UCL.

Talk

April 28th - April 29th, 2026 • De Morgan House in Central London

The London Meeting on Computational Statistics

The London Meeting on Computational Statistics 2026 is a two-day workshop that will bring together researchers at the forefront of computational statistics to discuss recent advances in the field. A broad range of topics will be covered, with a focus on the intersection of computational...

Meeting

June 15th - June 19th, 2026 • MaLGa Center @ University of Genoa

MaLGa Machine Learning Crash Course 2026

The Machine Learning Crash Course (MLCC) provides an introduction to the fundamental concepts and algorithms of Machine Learning. The course is suitable for undergraduate/graduate students, as well as professionals. It is open to students from any University upon selection.

Summer School

June 29th - July 3rd, 2026 • Kraków

Machine Learning Summer School on Reliability & Safety

The Machine Learning Summer School on Reliability & Safety (MLSSR&S 2026) is a five-day summer school dedicated to selected topics in machine learning, with a focus on AI safety, reliability and robustness of machine learning systems.

Summer School