The network

Team

Researchers, engineers, organizers, and contributors working to keep large-scale AI research open.

Christoph Schuhmann

Christoph Schuhmann

Organizational Lead / Founder

Background in physics and computer science. Producer of Schools of Trust.

Jenia Jitsev

Jenia Jitsev

Scientific Lead / Founder

Leads the Scalable Learning and Multi-Purpose AI Lab at Jülich Supercomputing Centre. Research in large-scale machine learning, with a background in neuroscience and computer science.

Research profile
Richard Vencu

Richard Vencu

Engineering Lead / Founder

Engineering expertise in artificial intelligence, automation, and electronics.

Romain Beaumont

Romain Beaumont

Open-source contributor / Founder

Builds open models and tools for large-scale deep learning.

Robert Kaczmarczyk

Robert Kaczmarczyk

Community / Medical / Operational Lead / Founder

Works across community, medical research, and operations, with a background in epidemiological research.

Theo Coombes

Theo Coombes

Founding Member

Programmer focused on large-scale data and machine learning.

Mehdi Cherti

Mehdi Cherti

Founding member / Researcher

Researcher in the Scalable Learning and Multi-Purpose AI Lab at Jülich Supercomputing Centre. Research in open multimodal models, datasets, generative modelling, and scaling laws. PhD in computer science.

Research profile
Irina Rish

Irina Rish

Member / Researcher

Professor of computer science and operations research at Université de Montréal. Research interests include scaling laws for machine learning.

Aran Komatsuzaki

Aran Komatsuzaki

Member / Researcher

Research interests include reinforcement learning, representation learning, and generative modelling.

Research profile
Robin Rombach

Robin Rombach

Member / Researcher

Research in deep generative models. Co-author of VQGAN, Latent Diffusion, and Stable Diffusion.

Katherine Crowson

Katherine Crowson

Member

AI researcher and generative artist working on generative models.

Marianna Nezhurina

Marianna Nezhurina

Member / Researcher

PhD student at Jülich Supercomputing Centre and the University of Tübingen, in the Scalable Learning and Multi-Purpose AI Lab. Research in open multimodal foundation models, datasets, scaling laws, scalable reinforcement learning, and agentic model training and evaluation.

Ludwig Schmidt

Ludwig Schmidt

Member / Researcher

Professor of computer science at Stanford University. Research in datasets, generalization, reasoning, evaluation, and large models.

Research profile
Rio Yokota

Rio Yokota

Member / Researcher

Professor at Institute of Science Tokyo. Research at the intersection of high-performance computing, linear algebra, and machine learning.

Research profile
Lucia Cipolina-Kun

Lucia Cipolina-Kun

Member / Researcher

Research in diffusion models, reinforcement learning, and mathematics, including applications to art restoration and cultural heritage.

Dominic Rampas

Dominic Rampas

Research contributor

Research in generative models for human creativity. Co-author of Paella and Würstchen.

Pablo Pernias

Pablo Pernias

Research contributor

Research in generative models for human creativity. Co-author of Paella and Würstchen.

Björn Plüster

Björn Plüster

Research contributor

Affiliated with the University of Hamburg, DiscoResearch, and Ellamind. Research in multilingual language models and specialized fine-tuning.

Jörg Franke

Jörg Franke

Member / Researcher

Research in open foundation models and datasets, automated machine learning, and optimization.

Gijs Wijngaard

Gijs Wijngaard

Member / Researcher

Researcher in the Scalable Learning and Multi-Purpose AI Lab at Jülich Supercomputing Centre. Research in open multimodal foundation models and datasets, and audio modelling.

Aarush Katta

Aarush Katta

Founding Member

Programmer working in artificial intelligence and machine learning.