Scientific Advisory Board
The role of the MultiSim Scientific Advisory Board is to provide external advice on the vision and scientific direction of the programme.
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The board is made up of key representatives from industry and academia, all senior scientists with strong reputations in the community with no formal connection to the MultiSim programme.
- Professor Anthony Bull – Chair of the Board: Head of Bioengineering at the Imperial College London (view profile)
- Professor Philip Maini – Director of the Centre of Mathematical Biology at the University of Oxford (view profile)
- Professor Constantinos Soutis – Director of the Aerospace Research Institute at the University of Manchester (view profile)
- James McClung –Business Development Manager, NVIDIA (view profile)
- Professor David Farrar – Head of New Technologies at Xiros (view profile)
- Dr Robert Copeland – Centre for Sport and Exercise Science at Sheffield Hallam University (view profile)
- Professor Jon Nicholl – Dean of the School of Health and Related Research at the University of Sheffield (view profile)
- Mr Mike Woodacre – Chief Engineering for UV Platform at SGI (view profile)
- Professor Yiannis Ventikos – Head of Mechanical Engineering Department at the University College London (view profile)
- Professor Wendy Tindale OBE – Scientific Director of the Sheffield Teaching Hospital NHS Foundation Trust (view profile)
- Professor Edward Draper – Innovations Manager at JRI-Ltd (view profile)
- Professor Laoise McNamara – Professor of Biomedical Engineering, National University of Ireland Galway (view profile)
- Professor Jose Manuel Garcia Aznar – University of Zaragoza (view profile)
- Professor Ilse Jonker – Head of Human Movement Biomechanics Research Group, University of Leuven (view profile)
- Professor Alfons Hoekstra – Associate Professor at the University of Amsterdam, The Netherlands (view profile)
MultiSim Project
Aiming to create a new generation of predictive models capable of handling complex multi-scale and multiphysics problems, characterised by uncertain and incomplete information.