AI for Global Goals | OxML @GlobalGoalsAI

🧬 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 🧬 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. #OxML2026 #MLxHealth #HealthcareAI #BiomedicalAI #MachineLearning #ArtificialIntelligence #DigitalHealth #UniversityOfOxford #DeepMedicine #HealthTech #AIResearch #Oxford #MedicalAI #ClinicalAI @raodyrao @UniofOxford

📢⌛ Last chance to register for OxML 2026. This July, at the Oxford Mathematical Institute and online, we will host two advanced tracks: MLx Health & Bio MLx Representation Learning & Generative AI Outstanding speakers -- Advanced technical depth --Strong international community. Final chance to join us this July: oxfordml.school/2026 #OxML2026 #OxML #MachineLearning #AI #GenerativeAI @rezakhorshidi @yalidux @GlobalGoalsAI @GRESEARCHjobs

🚨 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. oxfordml.school #MLxHealth #OxML2026 #MachineLearning #AIHealthcare #ComputationalBiology #Bioinformatics #HealthcareAI #DeepLearning #Oxford #ArtificialIntelligence

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. #OxML2026 #MachineLearning #ArtificialIntelligence #Oxford #AIResearch #DeepLearning #GenerativeAI #HealthcareAI #RepresentationLearning #MLCommunity

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. 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. With demand continuing to grow and capacity limited, now is the time to secure your place. 📅 July 15–18, 2026 📍 Oxford, UK Register today: oxfordml.school #MLxRepLearning #OxML #MachineLearning #RepresentationLearning #ArtificialIntelligence #AISafety #Interpretability #DeepLearning #GenerativeAI #FoundationModels #Oxford #AIResearch #MachineIntelligence @FazlBarez @UniofOxford

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: oxfordml.school #oxml #healthcare #healthtech #biomedicalimpact

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 (GAT) 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: oxfordml.school #OxML #GraphAttentionNetworks #GraphRepresentationLearning #RepLearning #GeometricDeepLearning @PetarV_93 @GoogleDeepMind @Cambridge_Uni

⚠️ 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. oxfordml.school @FazlBarez @AlexanderTong7 @_rockt @petergostev @pliang279 @oier_mees @aprorok @tom_rainforth #MachineLearning #GenerativeAI #RepresentationLearning #AI #OxML

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. oxfordml.school. #OxML #AICommunity #MLHealth #RepLearning #GenerativeAI #AI

⚠️ 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