OxML 2026 — Final Speaker Line-up & Limited Remaining Places
Oxford Machine Learning (OxML)
10–18 July 2026 | Oxford Mathematical Institute & Online
OxML 2026 is approaching, and we are sharing the final programme updates for this year’s school.
A limited number of Oxford in-person places remain available on a first-come, first-served basis.
The programme brings together researchers and practitioners working across machine learning, healthcare, biology, generative AI, multimodal learning, robotics, causal inference, AI safety, and AI for mathematics.
MLx Health & Bio (10–13 July)
Topics include EHR learning, digital health and novel data modalities, sensor and foundation models, geometric deep learning, biomedical imaging, real-world data, epidemiology, and cellular-scale biology.
Confirmed speakers include:
- Gaël Varoquaux (INRIA)
- Demilade Adedinsewo (Mayo Clinic)
- Joe Futoma (Apple)
- Michael Bronstein (University of Oxford / AITHYRA)
- Sarah Teichmann (University of Cambridge)
- Blanca Rodríguez (University of Oxford)
- Christopher Yau (University of Oxford)
- Ines Prata Machado (University of Cambridge)
- Shishir Rao (University of Oxford)
- Emma Robinson (King’s College London)
MLx Representation Learning & Generative AI (15–18 July)
Topics include AI for mathematics, intelligent data gathering, multimodal AI, multi-agent systems, causal discovery, geometric deep learning, generative modelling, embodied intelligence, and AI safety.
Confirmed speakers include:
- Kevin Buzzard (Imperial College London)
- Tom Rainforth (University of Oxford)
- Amanda Prorok (University of Cambridge)
- Ricardo Silva (UCL)
- Paul Liang (MIT)
- Peter Gostev (Arena AI)
- Fazl Barez (University of Oxford)
- Tony Feng (UC Berkeley / Google DeepMind)
- Petar Veličković (Google DeepMind)
- Tim Rocktäschel (UCL)
- Alexander Tong (AITHYRA)
Register here: www.oxfordml.school/register
Full-time students and participants from LMICs are eligible for a 40% registration fee discount.
OxML Team
con...@oxfordml.school
www.oxfordml.school