Oxford Machine Learning Summer School (OxML 2025)
We are excited to announce that the application for the 6th Oxford Machine Learning Summer School is now open. This year’s programme offers diverse, cutting-edge tracks tailored for ML enthusiasts, professionals, and researchers:
1. MLx Fundamentals [1–2 & 8–9 May; Online]:
Provides comprehensive training in basic theory of core ML concepts, plus several practical sessions.
2. MLx Generative AI [5–7 June; London & Online]:
Focused on Agents (the hottest topic/trend in Gen. AI) and products built on generative AI models — a great mix of theory and practical examples.
3. MLx Health & Bio [2–5 Aug; Oxford & Online]:
A comprehensive training on the use of ML and DL in biomedical sciences (imaging, genomics, proteinomics, …) and population health.
4. MLx Representation Learning & Generative AI [7–10 Aug; Oxford & Online]:
The deepest theoretical course, covering the concepts underpaying the success of DL and Gen. AI with their application across different domains.
Confirmed speakers:
· Charlotte Deane (University of Oxford)
· Michael Bronstein (University of Oxford)
· Mireia Crispin-Ortuzar (University of Cambridge)
· Arthur Gretton (UCL, Google DeepMind)
· Jeff Clune (University of British Columbia, OpenAI)
· Jonathan Passerat-Palmbach (Imperial College London)
· Reza Khorshidi (University of Oxford, Elandi)
· Aymeric Dieuleveut (École Polytechnique)
· Yali Du (King’s College London, The Alan Turing Institute)
· Ashley Edwards (Runway.AI)
· Karo Moilanen (Stealth AI, Elandi)
· Danijela Horak (BBC)
· Peggy Tsai (BigID)
· Chi Jin (Princeton University)
· Yuki M. Asano (University of Amsterdam)
· Biwei Huang (UC San Diego)
· Meng Fang (University of Liverpool)
· Karsten Kreis (NVIDIA Research)
· Vincent Moens (Meta)
· Edward Hughes (DeepMind)
· Sunil Mallya (FLlip AI)
· Abdul Fatir Ansari (AWS AI Labs)
Note: More speakers to be announced in the coming weeks.
OxML is organised by AI for Global Goals and in partnership with CIFAR and the University of Oxford’s Deep Medicine programme.
Learn More and Apply Now:
Visit our website for more details: www.oxfordml.school
Spots are limited, so don’t miss your chance to join us!
Should you have any questions please contact us on con...@oxfordml.school
Best wishes
The OxML Team