OXFORD
MACHINE LEARNING
SUMMER SCHOOL

We are the only learning and development (L&D) solution in the world that combines best-in-class training in advanced applied ML (through OxML schools) with hyper-contextualised generative L&D content and experiences (through Elandi.AI).

Our programs trained 1000s of global talents in AI and tech (from 120+ countries) on cutting-edge theoretical and applied topics; from AI theory, to its applications in health, finance, sustainability, and many more topics. Join our 2025 programme — the biggest and most comprehensive training in AI/ML that we have ever organised.

The 2025 program:

MLx Fundamentals: 1–2 & 8–9 May | Online
MLx Generative AI: 5–7 June | London & Online
⁠MLx Health & Bio: 2–5 Aug | Oxford & Online
MLx Representation Learning & Gen.AI: 7–10 Aug | Oxford & Online

2025 COURSES

Services

2025 COURSES

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MLx HEALTH & BIO

2–5 Aug

University of Oxford's Maths Institute & Online

A masterclass combining theoretical ML talks with applications of ML in healthcare and biomedical sciences/research/technology.
⁠From imaging, proteomics, genomics, and EHR, to comp. bio, drug discovery, multi-omics, wearable, and more.
Delivered by the leading researchers in both academic and industry.

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MLx REPRESENTATION LEARNING & GenAI

7-10 Aug

University of Oxford's Maths Institute & Online

⁠Covering the latest developments in representation learning, including those behind the success of generative AI.
Deep dive into ML in domains such as NLP (including LLMs), computer vision (including foundational/frontier image, video and multi-modal models), Bayesian ML, Reinforcement Learning, Geometrical DL, and more.
Several talks on the applications of DL and Gen. AI across key domains and industry verticals.

MLx Health & Bio

2–5 August | University of Oxford's Maths Institute & Online

More speakers to be announced soon.

Michael Bronstein

University of Oxford,

AITHYRA

Geometric Deep Learning (GDL) in Drug Discovery/Chemistry

Charlotte Deane

University of Oxford

Deep Learning in Proteomics & Drug Design

Arthur Gretton

University College London

Google DeepMind

Causal Machine Learning

Aiden Doherty

University of Oxford

ML & large-scale wearable data to better understand the causes & consequences of disease.

AdamLewandowski

UK Biobank

Biobanking for population health: ML studies on multi modalities of Biobank data

Hoifung Poon

Microsoft Health

Foundations models (beyond NLP) in medicine

Brian Hie

Stanford University

Biological foundation models across all domains of life (Evo 2 and more)

Vivek Natarajan

Google

Multimodal foundation models for biomedical applications

Rahul Krishnan

University of Toronto

Deep dive in to the world of survival / time to event modelling

Pierre Masselot

London School of Hygiene & Tropical Medicine

A review of ML in environmental epidemiology

Moritz Kraemer

University of Oxford

Machine learning for Modelling, Managing, and Preventing Pandemics

Zeyu Gao

University of Cambridge

Multiomics for cancer

Vincent Moens

Meta

Workshop: Open-Source Tools for ML on Edge Devices & Robots

Remi Cadene

Hugging Face

Workshop: Open-Source Tools for ML on Edge Devices & Robots

Xuan-Son Nguyen

Hugging Face

Workshop: Open-Source Tools for ML on Edge Devices & Robots

Ali Khoshgozaran

Meta

Workshop - Deploying CV application onto embedded systems

Mergen Nachin

Meta

Workshop - Deploying CV application onto embedded systems

More Speakers to be announced soon

MLx Representation Learning & Gen.AI

7–10 August | University of Oxford's Maths Institute & Online

More speakers to be announced soon.

Peyman Milanfar

Google

Denoising: A Powerful Building-Block - from Imaging to Machine Learning

Aymeric Dieuleveut

École Polytechnique

Strengths and Limits of Conformal Prediction

Cheng Zhang

Meta

TBC

Abdul Fatir Ansari

AWS AI Labs

Representation learning for time series

Ashley Edwards

Runway

Generative AI for images & videos

Fazl Barez

University of Oxford

AI safety and alignment

Haitham Bou-Ammar

Huawei

TBC

Gerhard Neumann

Karlsruhe Institute of Technology (KIT)

TBC

Hannaneh Hajishirzi

University of Washington,

Allen Institute for AI

TBC

David Salinas

University of Washington

Tabular foundation models and AutoML

Edward Johns

Imperial College London

Representation Learning & Generative AI in Robotics

Ilia Shumailov

Google DeepMind

ML security

Vincent Moens

Meta

Workshop: Open-Source Tools for ML on Edge Devices & Robots

Remi Cadene

Hugging Face

Workshop: Open-Source Tools for ML on Edge Devices & Robots

Xuan-Son Nguyen

Hugging Face

Workshop: Open-Source Tools for ML on Edge Devices & Robots

Ali Khoshgozaran

Meta

Workshop - Deploying CV application onto embedded systems

Mergen Nachin

Meta

Workshop - Deploying CV application onto embedded systems

More speakers to be announced soon

PROGRAM COMMITTEE

Mona Alinejad

Founder & CEO

AI for Global Goals

Reza Khorshidi

CEO, ZEESTA LABS
Chief Product & AI Officer, ELANDI

Yali Du

Professor of AI

King's College London

Karo Moilanen

Director of AI

Moonsong Labs

Rochelle Enriquez-Radisa

Project manager

AI for Global Goals

Partners

ORGANISERS

AI for Global Goals

OxML IN NUMBERS

5,000+

100+

40%

50%

Trained AI talents since 2020

Countries

Female

Under–represented groups

COMMUNITY PARTNERS

CONTACT US

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OXFORD MACHINE LEARNING SUMMER SCHOOL

Services

2025 COURSES

MLx HEALTH & BIO

MLx REPRESENTATION LEARNING & GenAI

MLx Health & Bio

MLx Representation Learning & Gen.AI

PROGRAM COMMITTEE

ORGANISERS

AI for Global Goals

OxML IN NUMBERS

5,000+

100+

40%

50%

SPONSORS

COMMUNITY PARTNERS

CONTACT US

OXFORD
MACHINE LEARNING
SUMMER SCHOOL