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Dr Derek Groen
Reader in Computer Science

Research area(s)

I am an interdisciplinary researcher who focuses primarily on multiscale modelling and high-performance computing, but takes along some of the major challenges that surround these topics. These include performance modelling and optimization, distributed computing, new approaches for code coupling, and techniques to make intensive computational research easier and more efficient.

In terms of applications, I currently model bloodflow in cerebral arteries (using lattice-Boltzmann), and self-assembly processes in layered materials (using molecular dynamics methods). I have worked with a number of other models before (e.g., dark matter simulations to resolve structure formation in the universe), and I am likely to pick up new applications as I proceed with my career.

Research grants and projects

Research Projects


Software Environment for Actionable & VVUQ-evaluated Exascale Applications (SEAVEA)
Funder: Engineering & Physical Sciences Research Council
Duration: August 2021 - August 2024
Modelling predicting and dealing with migration flows : ITFLOWS
Funder: European Commission
Duration: September 2020 - August 2023
Demonstration of intelligent decision support for pandemic crisis prediction and management within and across European borders: STAMINA
Funder: European Commission
Duration: September 2020 - August 2022

STAMINA aims at providing solutions for the preparedness and response phases of the emergency management cycle by facilitating intelligent evidence-based decision support for practitioners at national and regional levels involved in pandemic crises management.

HPC and Big Data Technologies for Global Systems: HIDALGO
Funder: European Commission
Duration: December 2018 - November 2021
Funder: European Commission Directorate-General for Research and Innovation
Duration: November 2018 - November 2021
Verified Exascale Computing for Multiscale Applications - VECMA
Funder: European Commission
Duration: June 2018 - June 2021
SAROBMED: The Evidence-based, Research-led Search and Rescue Observatory for the Mediterranean
Funder: Queen Mary, University of London
Duration: January 2018 - September 2018

The key purpose of this project is to set up an independent, research-led observatory of search and rescue (SAR) and interdiction incidents, through a secured digital environment for the collection, storage, exchange, and dissemination of reliable data regarding human rights violations in the Mediterranean.

“Accelerating simulations of cerebrovascular blood flow through parallelization in time (PiTflow)”
Funder: EPCC
Duration: August 2017 - December 2018

HemeLB [1] is code designed to simulate blood flow in arteries using Lattice-Boltzmann methods (LBM). For complex geometries like the Circle of Willis, it scales up to 25k cores on the Cray XC30 supercomputer ARCHER but simulations still take several days to complete. Building on the work by Randles and Kaxiras [2], this project will integrate parallel-in-time integration capacities into HemeLB to extend scaling and reduce wall-clock times.

Computing Patterns for High Performance Multiscale Computing
Funder: European Commission
Duration: October 2016 - September 2018
Open Multiscale Systems Medicine
Funder: European Cooperation in Science and Technology
Duration: April 2016 - April 2020

Our main objective is to gather a critical mass of researchers and stakeholders from different disciplines and coordinate these researchers as a team to define and investigate important S&T challenges in multiscale systems medicine, and to improve existing and develop novel solutions for multiscale systems medicine

Project details

  • Named contributer and collaborator in the funded Horizon 2020 ComPat project (4M EUR).
  • Collaborator in the UKCOMES EPSRC High-End Computing Consortium.
  • Co-I on the GridsInGrids ARCHER eCSE project (~100k EUR)

Independent Lecturer at the Department of Computer Science at Brunel University.

Emeritus Fellow of the 2020 Science project (

Visiting Lecturer at the Centre for Computational Science (