About Us
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 Sciences, 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
Ander Biguri
University of Cambridge
Senior Research Associate
Benjamin Chidiac
University of Cambridge
PhD Student
Bianca Provost
University of Cambridge
Programme Manager
Carl Henrik Ek
Cambridge University
Senior Lecturer
Caroline Chater
University of Cambridge
Programme Coordinator
Challenger Mishra
Cambridge University
Departmental Early Career Academic Fellow, Accelerate Programme
Daattavya Aggarwal
University of Cambridge
PhD Student
Diana Robinson
University of Cambridge
Research Assistant
Fariba Yousefi
University of Cambridge
Senior Machine Learning Engineer
Haochen Liu
University of Cambridge
Research Assistant
Hongyu Zhou
University of Cambridge
Research Assistant
Isaac Sebenius
Cambridge University
PhD Student
Jess Montgomery
Cambridge University
Executive Director, Accelerate Science
Justin Tan
Cambridge University
PhD Student
Katie Light
University of Cambridge
Programme Manager
Kevin Monteiro
University of Cambridge
Research Assistant
Moshe Eliasof
University of Cambridge
Research Associate
Neil D. Lawrence
Cambridge University
The DeepMind Professor of Machine Learning
Oisin Kim
University of Cambridge
PhD Student
Radzim Sendyka
Research Assistant
Ryan Daniels
University of Cambridge
Senior Machine Learning Engineer, Accelerate Programme
Sam Nallaperuma
Senior Research Associate
Shrankhla Pandey
University of Cambridge
PhD student
Soumya Banerjee
Cambridge University
Senior Research Associate, Accelerate Programme
Stathis Megas
University of Cambridge
Research Associate
Zhiyuan Song
University of Cambridge
PhD Student
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
Abigail Gee
Ahmad Abu Khazneh
Bianca Dumitrascu
Bingqing Cheng
Caroline Nettekoven
Dinithi Sumanaweera
Katie Green
Lena Yang
Lilly Wollman
Lorenz Kretschmer
Louis De Benoist
Marcella Montagnese
Rebeca Ianov Vitanov
Ruben Weizman
Rudolf Laine
Ruiyang He
Sam Beer
Samuel Considine
Sarah Morgan
