AI for Global Goals

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

07/09/2026

A look back at MLx Health & Bio — OxML 2026

Over four days in Oxford, MLx Health & Bio brought together researchers, clinicians, engineers and scientists working at the intersection of machine learning, healthcare and biology.

The programme explored topics ranging from electronic health records, digital health and cardiovascular diagnostics to geometric deep learning, sensor-based foundation models, single-cell biology, genomics and biomedical discovery.

The academic programme was only one part of the experience. Participants also took part in:
🚶 Oxford walking tours between sessions
🤝 Socials and conversations across the community
📊 Poster sessions, where researchers presented their own work and discussed it with peers and speakers

🎥 Missed previous OxML sessions? Explore past content on ELANDI: https://elandi.ai/dashboard

A look back at MLx Health & Bio — OxML 2026Over four days in Oxford, MLx Health & Bio brought together researchers, clin...
07/09/2026

A look back at MLx Health & Bio — OxML 2026

Over four days in Oxford, MLx Health & Bio brought together researchers, clinicians, engineers and scientists working at the intersection of machine learning, healthcare and biology.

The programme explored topics ranging from electronic health records, digital health and cardiovascular diagnostics to geometric deep learning, sensor-based foundation models, single-cell biology, genomics and biomedical discovery.

The academic programme was only one part of the experience. Participants also took part in:
🚶 Oxford walking tours between sessions
🤝 Socials and conversations across the community
📊 Poster sessions, where researchers presented their own work and discussed it with peers and speakers

🎥 Missed previous OxML sessions? Explore past content on ELANDI: https://elandi.ai/dashboard

🧬 This is what the OxML MLx Health & Bio crew of 2026 looks like! ✨
15/07/2026

🧬 This is what the OxML MLx Health & Bio crew of 2026 looks like! ✨

Day 1 of the MLx Health & Bio track at OxML | Oxford Machine Learning School 2026 was huge success! 👏 We heard from thre...
11/07/2026

Day 1 of the MLx Health & Bio track at OxML | Oxford Machine Learning School 2026 was huge success! 👏

We heard from three phenomenal speakers pushing the boundaries of AI in biomedicine:

🎤 Professor Christopher Yau (University of Oxford) opened with "Building More Robust AI" exploring what it takes to make AI trustworthy enough for real-world healthcare.
🎤 Dr Emma Robinson (King's College London) followed with "Geometric Deep Learning for Biomedical Modelling & Simulation" making the case for meshes and graphs over grids in modelling the body.
🎤 Professor Sarah Teichmann (University of Cambridge) closed the day with "Human Cell Atlas, Data Science & AI" charting the path from single cells to a future virtual human.

From robustness to geometry to atlasing the entire human body... day 1 covered extraordinary ground! Huge thanks to all three speakers for kicking off MLx Health & Bio in style. Roll on Day 2! 🧬

🧬 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

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