Research Fellow in Virtual Human Cardiovascular Modelling & Simulation at the Emerging Exascale

Author Archives: a.evangelopoulos@ucl.ac.uk

Research Fellow in Virtual Human Cardiovascular Modelling & Simulation at the Emerging Exascale

Supervisor: Professor P. V. Coveney Closing date: 26 April 2021 The UCL Centre for Computational Science (CCS) are recruiting for a candidate to join a very active inter-disciplinary group in the Centre for Computational Science and will perform modelling and simulation of the cardiovascular system on the whole human scale. The post-holder will work on…

Philosophical Transactions of the Royal Society A Theme Issue on Reproducibility

We are delighted to announce the publication of a Theme Issue in the journal Philosophical Transactions of the Royal Society A. The issue is titled “Reliability and Reproducibility in Computational Science: Implementing Verification, Validation and Uncertainty Quantification in Silico” and a significant proportion of the papers contained therein stems from research led by UCL’s Centre…

Online talk on the role of simulation-based science

In this edition of the Simulation-based Science series hosted by the Institute for Advanced Study (IAS) of the University of Amsterdam, Peter Coveney will give a talk on the role of simulation-based science in decision-making for healthcare, government and industry. When: 26 February 2021 | 1600-1700CET / 1500-1600GMT Where: https://uva-live.zoom.us/j/6023898922 Title: The Role of Simulation-Based…

VECMA on CovidSim

In an article titled ‘The impact of uncertainty on predictions of the CovidSim epidemiological code’ and published by Nature Computational Science on 22 February 2021, VECMA reports on an analysis of CovidSim, the Imperial College model upon which the UK government relied in part to model various non-pharmaceutical intervention strategies, and guide its government policy…

VECMA and CompBioMed join forces to predict the impact of COVID

SARS-CoV2 has rapidly spread worldwide since December 2019, and early modelling work of this pandemic has assisted in identifying effective government interventions. The UK government relied in part on the CovidSim model developed by Professor Neil Ferguson’s team at the MRC Centre for Global Infectious Disease Analysis at Imperial College London, to model various non-pharmaceutical…

VECMA on FETFX e-Magazine

VECMA was featured in a FETFX e-Magazine article titled ‘Reliability and Reproducibility in Computational Science: Can We Trust Algorithms?’. The article mentions the progress with VECMAtk in terms of facilitating reliability in computer simulations, and features the newly-produced VECMA video.