• Artificial Intelligence in Medicine

Invited SpeakersProfile Details

Peter Coveney
Peter Coveney Prof Peter V. Coveney holds a chair in Physical Chemistry, is an Honorary Professor in Computer Science at University College London (UCL) and is Professor Adjunct at Yale University School of Medicine (USA). He is Director of the Centre for Computational Science (CCS) and of the Computational Life and Medical Sciences Network (CLMS) at UCL.

Biography

Prof Peter V. Coveney holds a chair in Physical Chemistry, is an Honorary Professor in Computer Science at University College London (UCL) and is Professor Adjunct at Yale University School of Medicine (USA). He is Director of the Centre for Computational Science (CCS) at UCL. Coveney is active in a broad area of interdisciplinary research including condensed matter physics and chemistry, materials science, as well as life and medical sciences in all of which high performance computing plays a major role. He has led many large scale projects, including the EPSRC RealityGrid e-Science Pilot Project (2001-05), its extension as a Platform Grant (2005-09), and the EU FP7 Virtual Physiological Human (VPH) Network of Excellence (2008-13); he is also PI on several current grants from the European Commission and other agencies, including the EU H2020 project Verified Exascale Computing for Multiscale Applications, VECMA (2018-2021), and the EU H2020 Centre of Excellence in Computational Biomedicine, CompBioMed and CompBioMed2 (2016-2023). He has been the recipient of many US NSF and DoE as well as European supercomputing awards (from DEISA and PRACE), which provide access to several petascale computers. Coveney chaired the UK Collaborative Computational Projects Steering Panel (2005-15) and has served on programme committees of many conferences, including the 2002 Nobel Symposium on Self-Organisation; he was Chair of the UK e-Science All Hands Meeting 2008, and of the Discrete Simulation of Fluid Dynamics conference 2003. He has published more than 400 scientific papers and co-authored two best-selling books (The Arrow of Time and Frontiers of Complexity, both with Roger Highfield) and is lead author of the first textbook on Computational Biomedicine (Oxford University Press, 2014). Coveney is a founding member of the UK Government’s E-Infrastructure Leadership Council and a Medical Academy Nominated Expert to the UK Prime Minister's Council for Science and Technology on Data, Algorithms and Modelling which has led to the creation of the London based Turing Institute. 

All sessions by Peter Coveney

  • Day 1Monday, February 18th
Session 2 : New Techniques in AI for the Needs of Medicine and Healthcare ( Chair - Stefan Arold)
1:40 pm

KEYNOTE LECTURE: Accurate, precise and reliable predictions from modelling and simulation using high performance computers

I describe one of our current major research activities which aims to produce actionable outcomes, namely the prediction of binding free energies of small molecules to proteins. We seek, rapid, accurate and reproducible predictions equipped with uncertainty quantification. In general, it is hard to reliably predict by simulation the outcome of a given scientific process. Faced with such difficulties, scientists today often seek to evade the problem by appealing to machine learning. I look at the advantages and disadvantages of invoking such data-driven approaches. Finally, I discuss our recent discovery that much of the true structure of chaotic dynamical systems is lost on digital computers due to their use of IEEE floating point arithmetic. I illustrate this finding with reference to the generalised Bernoulli map, perhaps the simplest of chaotic dynamical systems. I discuss the consequences of this discovery, inter alia for the application of machine learning to simulation data in “AI systems”.

Building 9 - Lecture hall 2 13:40 - 14:30 Details