
Artificial intelligence (AI) has the potential to become an engine for scientific discovery across disciplines – from predicting the impact of climate change, to using genetic data to create new healthcare treatments, and from finding new astronomical phenomena to identifying new materials here on Earth.
The Accelerate Programme for Scientific Discovery will advance the frontiers of science through the application of AI. Supported by a donation from Schmidt Futures, a philanthropic initiative founded by Eric and Wendy Schmidt, the Accelerate Programme will provide young researchers with specialised training in AI techniques, equipping them with the skills they need to use machine learning and AI to power their research. By pursuing an ambitious research agenda that applies machine learning to the scientific challenges of the 21st century, the Programme will generate insights that accelerate scientific progress and create AI tools that are capable of delivering benefits for science and society.

Aditya Ravuri
Cambridge University
PhD Student

Ahmad Abu-Khazneh
Cambridge University
Senior Machine Learning Engineer, Accelerate Programme

Carl Henrik Ek
Cambridge University
Senior Lecturer

Challenger Mishra
Cambridge University
Departmental Early Career Academic Fellow, Accelerate Programme

Isaac Sebenius
Cambridge University
PhD Student

Jess Montgomery
Cambridge University
Executive Director, Accelerate Science

Justin Tan
Cambridge University
PhD Student

Katie Green
Cambridge University
PhD Student

Katie Light
University of Cambridge
Programme Manager

Lorenz Kretschmer
University of Cambridge
Research Associate, Accelerate Programme

Neil D. Lawrence
Cambridge University
The DeepMind Professor of Machine Learning

Oisin Kim
University of Cambridge
PhD Student

Ryan Daniels
University of Cambridge
Machine Learning Engineer, Accelerate Programme

Sarah Morgan
Cambridge University
Departmental Early Career Academic Fellow, Accelerate Programme

Shrankhla Pandey
University of Cambridge
PhD student

Soumya Banerjee
Cambridge University
Senior Research Associate, Accelerate Programme

Ann Copestake
Head of the Department of Computer Science and Technology

Austen Lamacraft
Professor of Theoretical Physics

Carola-Bibiane Schönlieb
Professor of Applied Mathematics and Head of the Cambridge Image Analysis (CIA) Group

Mark Girolami
Professor of Computing and Inferential Science

Richard Turner
Professor of Machine Learning

Sarah Teichmann
Director of Research, Department of Physics, and Head of Cellular Genetics, Wellcome Sanger Institute