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At AI for Global Goals, we aim to provide our global participants with best-in-class training on a broad range of advanced topics and developments in machine learning (ML) -- including deep learning (DL).

 

Similar to our past schools, OxML 2023 will cover some of the most important topics in machine learning (ML) and deep learning (DL) that the field is showing a growing interest in (e.g., statistical/probabilistic ML, representation learning, reinforcement learning, causal inference, vision & NLP, geometrical DL, ...) and their applications in sustainable development goals (SDGs).

 

Our 2023's program consists of multiple schools such as MLx Health, MLx Finance, NLP, MLx Cases, ML Fundamentals, MLx Products, MLx Ops, etc. OxML Health and Finance schools will take place at the University of Oxford's Mathematical Institute between 8-16 July, 2023, and will follow a hybrid format (i.e., participants can choose to attend online or in-person).

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MLx Fundamentals 

 8-11 May 2023

ONLINE 

MLx Cases

 June 2023

ONLINE 

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MLx Finance &

NLP

8–11 July, 2023

Oxford Mathematical Institute

& Virtual

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MLx Health

13–16 July, 2023

Oxford Mathematical Institute

& Virtual

IMPORTANT DATES

IMPORTANT DATES

Oxford

8-16 July

MLx Finance & NLP

MLx Health

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May-June 2023

MLx Fundamentals

MLx Cases

April 2023

Notification of Acceptance

27 March 2023

Applications Close

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6 November 2022

Applications Open

MACHINE LEARNING & SDGs

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The field of Machine Learning (ML), including Deep Learning (DL), has seen tremendous growth, in the past decade. While such developments have simultaneously led to both optimistic and pessimistic views on AI and the future of society/humanity, one thing everyone agrees on is that certain industries and domains have benefited from AI more than others.

 

On the other hand, the Global Goals (i.e., the 17 goals officially known as the UN Sustainable Development Goals, or SDGs) can be among the biggest beneficiaries of AI. According to a report by PwC, by 2030, the use of AI for environmental applications could contribute up to $5.2T to the global economy; it could also create 38.2 million net new jobs globally. Adding the impact to overlapping industries such as healthcare, finance, education and more, the size of this impact can be even bigger.

 

OxML aims to bring some of the best talents in machine learning together with the primary goal of providing them with world-class training in ML/DL, with the main objective of raising awareness about AI+SDG. Our goal is to train and inspire more scientists and engineers in ML to pursue research towards the pledge to leave no one behind, that lies at the core of  SDG’s. This year's program consists of two main modules: ML x Health (Aug 7-10), and ML x Finance (Aug 11-14); participants of both modules will have access to an ML Fundamentals module (June 27-29).

PROGRAM COMMITEE

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Dr. Mona Alinejad
General Chair
OxML School
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Founder & CEO

AI for Global Goals

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Prof. Kazem Rahimi
Area Chair
MLx Health
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 Professor of Cardiovascular Medicine 

University of Oxford

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Dr. Reza Khorshidi
Program Chair 
OxML 2023
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 Program Lead, ML & Medicine

University of Oxford 

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Dr. Moez Draief
Area Chair
MLx Cases 
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Global Chief Scientist  at Capgemini Invent,

Visiting Professor at LSE

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Dr. Haitham Bou Ammar
Area Chair
MLx Fundamentals 
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H. Assistant Professor at UCL,

RL Team Leader at Huawei Research London

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Dr. Renyuan Xu
Area Chair
MLx Finance 
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Assistant Professor

Uni. of Southern California

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Dr. Karo Moilanen
Area Chair
MLx NLP 
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CTO at  Project Imagine

Team

OxML 2023 SPEAKERS

MLx HEALTH 

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Gitta Kutyniok

Professor of Applied Maths

University of Munich

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Kyunghyun Cho

Associate Prof. of computer science & data science, NYU

Senior Director of Frontier Research, Genentech

CIFAR Fellow

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Mireia Crispin

Lecturer in Integrated Cancer Medicine

University of Cambridge

Louis-Philippe Morency

Louis-Philippe Morency

Associate Prof. of Computer Science

Carnegie Mellon University

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Cheng Zhang

Principal Researcher

Microsoft Research

Munmun De Choudhury

Munmun De Choudhury

Associate Prof. of Interactive Computing

Georgia Tech 

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Marwin Segler

Principal Researcher 

Microsoft Research

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Ishan Misra

Research Scientist 

Facebook AI Research (FAIR)

MLx FINANCE & NLP

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Rama Cont

Professor of Mathematical Finance 

University of Oxford

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Stefan Zohren

Deputy Director of Oxford-Man Institute

University of Oxford

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Blanka Horvath

Professor in Oxford Math Finance Group

University of Oxford

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Svetlana Bryzgalova

Assistant Professor of Finance

London Business School

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Mihai Cucuringu

Associate Professor of Statistics

University of Oxford

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Rahul Savani 

Professor of Computer Science

University of Liverpool

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Edward Grefenstette 

Head of ML at Cohere,

 Honorary Professor at UCL

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Sebastian Ruder

Senior Research Scientist

Google

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Ryan Cotterell

Assistant Professor of Computer Science

ETH Zürich

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Pasquale Minervini

Lecturer in NLP

University of Edinburgh, UCL

MLx FUNDAMENTALS   &   MLx CASES

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Yali Du

Lecturer in AI

King's College London

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Haitham Bou Ammar

RL Team Leader

Huawei Research

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Matthieu Zimmer

Senior Research Scientist 

Huawei

Rasul Tutunov

Rasul Tutunov

Research Scientist

Huawei

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Khémon BEH 

Founder & CEO

Quickscale.ai

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Vincent Moens

Research Engineer,

Meta

Speakers

PARTNERS

OxML schools are organised by AI for Global Goals and in partnership with CIFAR and the University of Oxford's Deep Medicine Program

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PARTNERS
CONTACT US

CONTACT US

If you are interested in attending our schools, discuss sponsorship/partnership opportunities, or simply stay updated about our progress, please send us an e-mail, or subscribe to our mailing list, below.

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