AI for Global Goals | OxML

⚠️ 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) • 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 #MachineLearning #AI #HealthcareAI #Bioinformatics #DigitalHealth #OxML #GenerativeAI #DeepLearning

We are delighted to welcome Prof. Tim Rocktäschel (UCL and Co-Founder of Recursive Superintelligence) to OxML 2026 🙌 Tim’s work spans world models, representation learning, open-endedness, self-improving AI systems, grounded language understanding, and automated scientific discovery — all central directions in the future of AI. This will be a particularly exciting session at OxML 2026, taking place this July in Oxford. ⌛ Registration deadline: 22 May 👉 oxfordml.school/2026 @GlobalGoalsAI #OxML2026 #AI #MachineLearning #WorldModels #RecursiveSuperintelligence

🎉Today, we successfully concluded the first OxML 2026 course — MLx Cases A huge thank you to all our participants for the active participation, thoughtful discussions, and enthusiasm throughout the programme. We’re also grateful to our speakers for delivering engaging, hands-on, and practical lectures that explored real-world machine learning applications. Jialin Yu, Noor Sajid, Davide Eynard, David de la Iglesia Castro,Peter Gostev, Sizhe Yuen Special thanks as well to Prof. Yali Du, Program Chair of OxML 2026, for curating an engaging and impactful learning experience for our global community. MLx Cases may have come to an end, but you can still be part of the global OxML community 🌍 Join us this July for OxML 2026 in Oxford and online, including: • MLx Health & Bio • MLx Representation Learning & Generative AI We look forward to continuing the learning journey with you this summer in Oxford and online 💙 #OxML2026 #OxfordML #MachineLearning #ArtificialIntelligence #AI #DeepLearning #GenerativeAI #HealthAI #RepresentationLearning #MLCommunity

Due to strong interest and multiple requests from prospective applicants, we’re extending the submission deadline for the OxML 2026 Poster Challenge to 25th May This is your chance to share your research or ideas with a global ML community and get visibility across areas like machine learning, generative AI, health, and real-world applications. Why join? • Showcase your work to researchers, practitioners, and peers • Get feedback and spark new collaborations • Be part of the OxML community at Oxford • Great opportunity for early-stage research, projects, or ongoing work If you’ve been thinking about submitting, this is your sign to go for it 🚀 More info: OxML 2026 Poster Challenge PC: Sahar Vahdati, Angelo Salatino, Ines Prata Machado @SaVahdati @angelosalatino #OxML2026 #PosterChallenge #MachineLearning #GenerativeAI #AIforGood #HealthAI #DeepLearning #ResearchCommunity #OxfordML #AIResearch

🚀 Working on diffusion models, AI for health, representation learning, generative AI, or applied ML research? Present your work at the OxML Poster Challenge and connect with an international community of researchers, practitioners, founders, and innovators in AI. Whether you’re exploring cutting-edge theory or real-world applications, this is an opportunity to: • Showcase your research in Oxford • Receive feedback from peers and experts • Build collaborations across academia and industry • Be part of the global OxML community 📍 OxML 2026 — Oxford, UK 🗓 Poster submission deadline: May 15th 🌐 Apply now: oxfordml.school #MachineLearning #AI #GenerativeAI #DeepLearning #AIResearch #HealthAI #DiffusionModels #RepresentationLearning #OxML #PosterChallenge #ArtificialIntelligence

Built something exciting with AI? Present your work at the OxML Poster Challenge! Join researchers and practitioners shaping the future of AI. Visit oxfordml.school/2026/poster-ch… to learn more. Deadline: 15 May

We’re excited to feature Gael Varoquaux as a speaker for the MLx Health & Bio track. Gaël is a leading researcher in AI, statistical learning, causal inference, NLP, and health data science, with groundbreaking contributions to public health and epidemiology. He is also the co-founder of the widely used machine learning library scikit-learn and Chief Science Officer of Probabl. His work has shaped some of the most important open-source tools in the Python data science ecosystem and continues to influence the future of AI in healthcare and biomedical research. Join us this July at the Oxford ML Summer School for MLx Health & Bio. Limited spots left — register now at Oxford ML School #OxML #MLinHealth #HealthTech #Biotech #scikitlearn #Inria

🔥 Day 2 of MLx CASES at OxML 2026 is here! Today’s sessions dive into the future of generative AI and autonomous systems — from building MiniGPTs to creating AI agents that can reason, act, and evolve. 🎙️ Featuring: • Sizhe Yuen — Building a MiniGPT • Eric Wang — Building AI Agents that Reason, Act, and Evolve • Davide Eynard & David de la Iglesia Castro — Own Your AI Agent: Running Open Source Agents on Your Terms A huge welcome to everyone joining us online from around the world 🌍 Interested in joining the next OxML 2026 programmes this July in Oxford? Registrations are open for our MLx Health & Bio and MLx Representation Learning & Generative AI tracks. ✨ #OxML2026 #MLxCASES #GenerativeAI #AIAgents #LLM #MachineLearning #OpenSourceAI #MiniGPT

🚀 MLx CASES at OxML 2026 starts today! We’re excited to kick off this year’s programme with practical, hands-on sessions in deep learning and generative AI. Join participants from around the world as we explore cutting-edge machine learning techniques together. 🕐 Noor Sajid Building a CNN for Image Classification 🕞 Jialin Yu Building Diffusion Models for Images & Sequences If you’d like to be part of the next OxML 2026 courses this July in Oxford, registrations are still open. Join leading researchers, engineers, and practitioners for an immersive experience in ML, Generative AI, Representation Learning, and AI for Health. #OxML2026 #MLxCASES #MachineLearning #DeepLearning #GenerativeAI #ComputerVision #OxfordAI

Today we begin MLx Cases at OxML 2026. A hands-on, engineering-driven module focused on building real end-to-end AI systems — from CNNs and diffusion models to MiniGPT, open-source agents, and AI systems that reason, act, and evolve. At a time when the hardest problems in AI increasingly sit around the model, this is exactly the kind of practical training that matters. Looking forward to a great module with an outstanding group of instructors and participants. #OxML2026 #OxML #MachineLearning #AI #ML

⏳ CALL FOR SUBMISSIONS The deadline for the OxML 2026 Poster Challenge is fast approaching — don’t miss your chance to present your research in Oxford this July. Whether it’s early-stage work, ongoing research, or a paper in progress, we welcome submissions across both tracks: MLx Health & Bio (10–13 July) MLx Representation Learning & GenAI (15–18 July) $1,000 prize for the top poster in each track Open to all in-person OxML participants Submit by 15 May 2026 via EasyChair This is your opportunity to share your work, get feedback from leading researchers, and connect with a global ML community. 👉 Apply now: oxfordml.school/2026/poster-ch… #OxML2026 #MachineLearning #AIResearch #PosterChallenge #GenAI #HealthAI #AcademicResearch

We’re excited to welcome Professor Blanca Rodriguez to MLx Health 2026. A Professor of Computational Medicine at the University of Oxford, Blanca is a leading voice in digital health, pioneering the use of AI-driven simulations, digital twins, and in silico trials to transform how we understand and treat cardiovascular disease. Her work bridges machine learning, physiology, and clinical science to accelerate therapy development and reduce reliance on animal testing. She leads the Computational Cardiovascular Science team and has collaborated extensively with academia, industry, and regulators to shape the future of precision medicine. 📍 MLx Health | July 10–13, 2026 🎟️ Limited In-Person Slots! Register now to learn from global leaders at the forefront of AI in healthcare. oxfordml.school #OxML #MLinHealth #HealthCare #HealthTech #ClinicalSciences #DigitalHealth @UniofOxford

We’re excited to welcome Dr. Demilade Adedinsewo from Mayo Clinic to MLx Health. A leading cardiologist and researcher, her work focuses on women’s heart health, cardiovascular prevention, and addressing health disparities—alongside advancing the use of digital tools for early detection and management of heart disease. As Director of Research for the Women’s Heart Clinic, she is also a strong advocate for awareness and education through her work with the American Heart Association. Join us to learn how data, research, and digital innovation are shaping the future of cardiovascular care. oxfordml.school #OxML2026 #MLxHealth #HealthcareAI #DigitalHealth #MachineLearning #AIinHealthcare @MayoClinic

We are excited to have Professor Michael Bronstein, a leading figure in geometric deep learning, whose work has advanced machine learning on graphs and non-Euclidean domains, shaping modern AI across computer vision, representation learning, and large-scale real-world systems. Michael Bronstein is the DeepMind Professor of AI at the University of Oxford and Founding Scientific Director, AI at the AITHYRA Research Institute for Biomedical Artificial Intelligence in Vienna. His research interests lie in geometric deep learning, graph neural networks, 3D shape analysis, protein design, non-human species communication. Limited Slots available! Register for MLx Health & Bio: oxfordml.school #OxML2026 #MLxHealth #MachineLearning #AIinHealthcare #GeometricDeepLearning @mmbronstein @UniofOxford

Ideas. Insights. Interaction. 📣 Hear directly from participants as they share how the MLx Health & Bio school transformed their understanding of machine learning in biology—through inspiring lectures, real research insights, and meaningful global connections. From accessible learning to valuable industry exposure, discover why attendees found it both impactful and energising for their academic and professional journeys. 🎓 Submissions are still open to present your work in Oxford—alongside 1000 peers in the ML/AI community. We welcome: • Poster versions of papers under preparation or submission to major conferences (e.g., NeurIPS, ICML, ICLR, ACL) • Work in progress and preliminary results • Applied ML systems and real-world deployments • Interdisciplinary research, replication studies, or clearly stated negative results • Ongoing, unpublished, under-submission, or recently published work Note: Published work is eligible only if it has appeared in 2024 or later. Be part of the conversation shaping the future of AI. oxfordml.school #OxML #PosterChallenge #2026MLSummerSchool #AIcommunity #NeurIPS #ICML #ICLR #AppliedML #AIResearch #PresentyourResearch

Speaker Highlight: Joseph Futoma — advancing real-world healthcare through machine learning at ŌURA, turning wearable data into powerful predictive insights for personalized health. Join us at MLx Health & Bio to explore how ML is transforming real-world healthcare. Register now and be part of the future of health AI. oxfordml.school #OxML2026 #MLxHealth #HealthcareAI #DigitalHealth #MachineLearning #AIinHealthcare #Wearables #HealthTech #AIResearch @JFutoma @ouraring

⚠️ Deadline Today! Build and deploy real AI systems — not just models — in five intensive, hands-on days. Register here: oxfordml.school

⏳ Last call for MLx Cases — registration closes tomorrow, 24 April. One of the clearest shifts in AI right now is that, in many domains, the hardest problems sit around the model: evaluation, multi-step system behaviour, tool use, constraints, and surfacing failure modes early. These are the skills that increasingly differentiate strong ML practitioners. That is exactly why MLx Cases matters. It is the most practical module of OxML 2026: hands-on, engineering-driven, and focused on building real end-to-end AI systems. If you want to move beyond models and notebooks to building systems that actually work in practice, this is a very valuable module. 📅 Register by tomorrow, 24 April: 👉 oxfordml.school #OxML2026 #OxML #MachineLearning #AI #DeepLearning #GenerativeAI #MLx #DataScience

📣 Final call: MLx Cases 2026 This is a reminder that the application deadline for the MLx Cases is only days away. If you haven't yet applied, now is the time to do so! Dates: 7–9, 15 & 16 May 2026 Application deadline: 24 April 2026 Website: oxfordml.school Build and deploy real AI systems — not just models — in five intensive, hands-on days. MLx Cases 2026 is a hands-on, engineering-driven module of the OxML, designed for practitioners who want to build complete AI systems from the ground up—not just study models in isolation. Through guided, expert-led, hands-on case studies, you will build, reason about, and extend complete AI systems, including: 💠 Convolutional neural networks for image classification: Noor S. (Harvard University) 💠Diffusion models for images and sequences: Jialin Yu (University of Oxford) 💠A MiniGPT, built from the ground up: Sizhe Yuen (The Alan Turing Institute) 💠Owning your AI agents: running and adapting open-source agents on your terms: Davide Eynard & David de la Iglesia Castro (Mozilla.ai) 💠Building AI Agents that Reason, Act, and Evolve: Xin Eric Wang (UC Santa Barbara) 💠Hands-On with Today’s Cutting-Edge Tools: Building Practical Apps from a Real-World Example: Peter Gostev (Arena AI) Places are limited to maintain a high-quality, hands-on experience. If you’re ready to move from concepts to working AI systems, MLx Cases is for you. Limited Scholarships are available. Explore the 2026 programme & register: oxfordml.school/2026 #MLCases #OxML #BuildAI #AIApplication #ML @petergostev @yalidux @aittalam @xwang_lk @Harvard @UniofOxford @turinginst @MozillaAI @oiioxford