University of Oxford (Lead Partner)

University of Oxford is proud to be the Lead Partner for the JADE system and will host events in the near future to showcase the applications of JADE for both machine learning and molecular dynamics research.
Machine Learning and Related CDTs
Molecular Dynamics Groups

Principal Investigators

Professor Wes Armour

Co-Investigators

Professor Anne Trefethen
Professor Mike Giles
Dr Ian John Bush

University of Bristol

University of Bristol is a proud partner of the JADE consortium, and looks forward to supporting academics from the University in using JADE for their research into machine learning and molecular dynamics applications.
Machine Learning and Related CDTs

Co-Investigators

Professor Simon McIntosh-Smith

University of Edinburgh

University of Edinburgh is a proud partner of the JADE consortium, and looks forward to supporting academics from the University in using JADE for their research into machine learning and molecular dynamics applications.
Machine Learning and Related CDTs

Co-Investigators

Dr Alan Gray

King's College London

King's College London is a proud partner of the JADE consortium, and looks forward to supporting academics from the University in using JADE for their research into machine learning and molecular dynamics applications.
Machine Learning and Related CDTs

Co-Investigators

Professor Giovanni Montana
QMUL logo

Queen Mary, University of London

Queen Mary University of London is pleased to be a member the JADE consortium. We have a number of research centres engaged in Machine Learning and Molecular Dynamics, within our Science and Engineering faculty, that will benefit from this unique resource. Mark Sandler, Professor of Signal Processing, is the co-investigator for QMUL and is based in the School of Electronic Engineering and Computer Science.
Research Centres using Machine Learning
Molecular Dynamics Research Centres

Co-Investigators

Professor Mark Sandler

University of Sheffield

University of Sheffield is a proud partner of the JADE consortium, and looks forward to supporting academics from the University in using JADE for their research into machine learning and molecular dynamics applications.
Machine Learning and Related CDTs

Co-Investigators

Dr Paul Richmond

University of Southampton

University of Sheffield is a proud partner of the JADE consortium, and looks forward to supporting academics from the University in using JADE for their research into machine learning and molecular dynamics applications.
Machine Learning and Related CDTs
Moleculear Dynamics Groups

Co-Investigators

Professor Simon Cox

University College London

University College London is a proud partner of the JADE consortium, and looks forward to supporting academics from the University in using JADE for their research into machine learning and molecular dynamics applications.
Machine Learning and Related CDTs

Co-Investigators

Dr James Hetherington
Mr Denis Timm

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