AI for Global Goals

AI for Global Goals Our mission is to use AI to accelerate the achievement of the Global Goals (SDGs).

🧬 Speaker Announcement | Shishir Rao at MLx Health & Bio 2026We're delighted to welcome Shishir Rao from the University ...
10/06/2026

🧬 Speaker Announcement | Shishir Rao at MLx Health & Bio 2026

We're delighted to welcome Shishir Rao from the University of Oxford as a speaker at MLx Health & Bio 2026!

Shishir is a Senior AI Research Scientist within Oxford's Deep Medicine research group, where he co-leads multiple AI-driven healthcare initiatives. His work focuses on applying cutting-edge machine learning to some of healthcare's most pressing challenges.

His research sits at the intersection of machine learning, medicine, and population health, developing AI systems that can improve patient outcomes and support clinical decision-making at scale.

Join us this July to learn how modern machine learning is driving the next generation of biomedical discovery and healthcare innovation.

📅 10–13 July 2026
📍 Oxford Mathematics Institute & Online
🧬 www.oxfordml.school

⚠️ Limited places remain available. If you're interested in advanced machine learning for healthcare, biomedical AI, clinical applications, and translational research, now is the time to secure your place.

📢⌛ Last chance to register for OxML 2026This July, we will welcome participants to the University of Oxford Mathematical...
08/06/2026

📢⌛ Last chance to register for OxML 2026

This July, we will welcome participants to the University of Oxford Mathematical Institute and online for the 7th edition of Oxford Machine Learning Summer School.

The remaining July programme includes two advanced tracks:

MLx Health & Bio
MLx Representation Learning & Generative AI

Across these tracks, we are bringing together an outstanding group of speakers working across some of the most important directions in machine learning today, including healthcare AI, digital health, foundation models, geometric deep learning, multimodal AI, causal discovery, AI safety, and representation learning.

What continues to make OxML distinctive is not only the quality of the speakers, but the kind of international community it brings together: researchers, engineers, scientists, founders, clinicians, and practitioners who want serious technical content and thoughtful discussion in a strong academic setting.

If you have been considering joining us, this is the final chance to join us this July:

oxfordml.school/2026

🚨 Few days left to register for MLx Health & Bio 2026!We're delighted to welcome Professor Christopher Yau as a speaker ...
04/06/2026

🚨 Few days left to register for MLx Health & Bio 2026!

We're delighted to welcome Professor Christopher Yau as a speaker at this year's programme.

Professor Yau is a leading researcher in AI, machine learning, and computational biology, with work spanning genomics, healthcare data science, and the development of advanced machine learning methods for biomedical discovery. His research is helping bridge cutting-edge AI with real-world impact in healthcare and biology.

Join us this July in Oxford to learn from world-class researchers and practitioners shaping the future of AI in health and life sciences.

⏳ Registration closes soon and places are filling fast.
🔗 Secure your place today. www.oxfordml.school

02/06/2026

Oxford Machine Learning School is where researchers, engineers, founders, clinicians, students, and AI practitioners from around the world come together to learn, collaborate, and build lasting connections.

✨ Learn from leading researchers and industry experts
🤝 Network with participants from 100+ countries
🎓 Present your work through our poster sessions
🏛 Experience Oxford's historic colleges and academic atmosphere
💡 Join discussions that continue long after the lectures end
🌍 Become part of a global machine learning community

Whether you're advancing your research, exploring new ideas, building AI products, or expanding your professional network, OxML is designed to provide an immersive learning experience unlike any other.

📍 Oxford, UK
📅 July 2026

Limited places remain.

Apply today and join us this summer.

🚨 Few seats remaining for MLx Representation Learning 2026! 🚨Join us this July in Oxford for an intensive week exploring...
01/06/2026

🚨 Few seats remaining for MLx Representation Learning 2026! 🚨

Join us this July in Oxford for an intensive week exploring the latest advances in representation learning, foundation models, graph learning, AI safety, reasoning, and the future of intelligent systems.

We're delighted to welcome Fazl Barez, Senior Researcher at the University of Oxford. He is also the Principal Investigator of the Technical Safety & Governance (TSG) Lab and Technical Director of the AI Governance Initiative.

With demand continuing to grow and capacity limited, now is the time to secure your place.

📅 July 15–18, 2026
📍 Oxford, UK

Register today: www.oxfordml.school

We are delighted to announce that Ines Prata Machado will be joining the MLx Health as a speaker.She is a postdoctoral r...
29/05/2026

We are delighted to announce that Ines Prata Machado will be joining the MLx Health as a speaker.

She is a postdoctoral researcher at the University of Cambridge, where her work focuses on the development of advanced machine learning methods for healthcare and biological systems, with an emphasis on translating theoretical innovations into meaningful biomedical applications.

We are looking forward to welcoming her and to an engaging talk on how machine learning is shaping the future of biomedical research and clinical impact.

Limited Seats remain: www.oxfordml.school

We’re excited to welcome Petar Veličković to the OxML speaker lineup.Petar is a Senior Staff Research Scientist at Googl...
27/05/2026

We’re excited to welcome Petar Veličković to the OxML speaker lineup.

Petar is a Senior Staff Research Scientist at Google DeepMind, and a Lecturer at University of Cambridge. His research focuses on neural algorithmic reasoning, graph representation learning, and geometric deep learning, with the goal of improving out-of-distribution generalisation in AI systems.

He is widely known as the first author of Graph Attention Networks (G*T) and Deep Graph Infomax, with research that has impacted areas ranging from Google Maps travel-time prediction to mathematical discovery, football tactics, and competitive programming.

Join us to hear insights from one of the leading researchers shaping the future of graph and geometric deep learning.

Register Now: www.oxfordml.school

⚠️ Limited seats remaining for MLx Representation Learning & Generative AI at Oxford Maths Institute + Online (15–18 Jul...
26/05/2026

⚠️ Limited seats remaining for MLx Representation Learning & Generative AI at Oxford Maths Institute + Online (15–18 July).

Join leading researchers and practitioners exploring frontier models, scaling laws, modern architectures, generative AI systems, representation learning, and AI products.

Some of the Featured Lectures:

Why formalize mathematics— Kevin Buzzard (Imperial College London)
Intelligent Data Gathering— Tom Rainforth (University of Oxford)
Multi-Robot and Multi-Agent Learning— Amanda Prorok (University of Cambridge)
Embodied Multimodal Intelligence with Foundation Models— Oier Mees (Microsoft)
Multimodal AI— Paul Liang (MIT)
On Causal Discovery and the Extrapolation of Causal Effects— Ricardo Silva (UCL)
A theoretical view with Arena's data—Peter Gostev (Arena AI)
Petar Veličković (Google DeepMind)
Fazl Barez (University of Oxford)
Tim Rocktäschel (UCL)
Alexander Tong (Aithyra)
Tony Feng UC Berkeley

Register now before seats fill up.
www.oxfordml.school

25/05/2026

What does the OxML experience look like?

A week of learning, building, and connecting with some of the brightest minds in AI. From cutting-edge lectures and hands-on sessions to poster presentations, networking, and conversations that continue long after the programme ends — OxML brings together a truly global community passionate about machine learning, generative AI, health, and intelligent systems.

Whether you are a researcher, engineer, founder, clinician, or student, OxML is designed to help you deepen your knowledge, explore real-world applications, and meet collaborators from around the world.

Join us this July at the University of Oxford and be part of the next generation of AI innovation.

Register now — spots are limited.
www.oxfordml.school.

⚠️ Limited seats remain for MLx Health & Bio at OxML 2026 — join leading researchers and practitioners shaping the futur...
20/05/2026

⚠️ Limited seats remain for MLx Health & Bio at OxML 2026 — join leading researchers and practitioners shaping the future of AI in healthcare, biology, and biomedical discovery.

📍 10–13 July 2026
📍 Oxford Maths Institute & Online

This year’s speakers include:

• Gael Varoquaux (INRIA)
• Demilade Adedinsewo (Mayo Clinic)
• Joseph Futoma (ŌURA)
• Michael Bronstein (University of Oxford, AITHYRA Research Institute for Biomedical Artificial Intelligence)
• Christopher Bishop (Microsoft Research)
• Sarah Teichmann (University of Cambridge)
• Blanca Rodriguez (University of Oxford)
• Charlotte Deane (University of Oxford)

Alongside the programme, applications are also open for the OxML Poster Challenge.

📅 Deadline extended to 25 May 2026.
Open to OxML participants attending in-person.

What you get:
• Cash prizes of up to $1,000 per winning poster
• Recognition during the OxML programme
• Feedback and connections with speakers, mentors, and peers

Register and learn more: OxML 2026 Registration

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