Professor Paul Richmond

School of Computer Science

Professor of Research Software Engineering

Head of Research Software Engineering

Member of the Testing, Visual Computing and Complex Systems Modelling research groups

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+44 114 222 1936

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Professor Paul Richmond
School of Computer Science
Regent Court (DCS)
211 Portobello
S1 4DP

Dr Richmond is a research focused Research Software Engineer who has recently been awarded one of only six EPSRC Early Career Research Software Engineering (RSE) Fellowships. The focus of this fellowship is in facilitating the use of accelerated architectures such as Graphics Processing Units (GPUs) to accelerate scientific discovery.

He is developing software techniques, a provision of skills and training material and building a community to help drive the use of accelerators into mainstream science and engineering.

Research interests

Dr Richmond has a proven track-record of forming inter-disciplinary collaborations to achieve agenda-driven research. His work focuses on developing software which facilitates the pioneering use of emerging high-performance computing architectures for complex systems simulation within computational science and engineering.

He is an excellent communicator with a long term record of engaging scientists and engineers from diverse interdisciplinary fields to deliver requirement-driven software solutions.


Journal articles


Conference proceedings papers



Research Grants

  • FLAME GPU Support for Industry Adoption, EPSRC, 07/2023 - 12/2023, £29,933, as PI
  • Digital Twinning Project, Fujitsu, 01/2023 - 06/2023, £61,018, as PI
  • Increasing rail transport throughput while avoiding incentives to compromise social distancing: agent-based quantification leading to guidelines, ESRC, 01/2021 - 11/2021, £193,818, as Co-PI
  • Open Epidemiology for pandemic modelling: a transparent, traceable, reusable, open source pipeline for reproducible science, STFC, 01/2021 - 06/2022, £629,489, as Co-PI
  • JBC Data and Data Science, Government, 12/2020 - 05/2021, £45,863, as PI
  • PRIMAGEPRedictive In-silico Multiscale Analytics to support cancer personalized diaGnosis and prognosis, Empowered by imaging biomarkers, EC H2020, 12/2018 to 05/2023, £549,018, as Co-PI
  • How do the atypical cadherins Fat and Dachsous Integrate, BBSRC, 10/2018 to 03/2022, £481,262, as Co-PI
  • STriTuVad: In Silico Trial for Tuberculosis Vaccine Development, EC H2020, 02/2018 to 01/2023, £465,323, as Co-PI
  • Accelerating Scientific Discovery with Accelerated Computing, EPSRC, 02/2016 to 10/2021, £721,298, as PI
  • Osteolytica: Transforming outcomes for patients with cancer induced bone disease, MRC, 08/2017 to 07/2018, £106,556, as Co-PI
  • SATGPU Phase II, ATKINS LIMITED, 05/2017 to 08/2018, £50,000, as PI
  • Mobility for Life II: Traveller Focused Integrated Mulit-Modal Transport Model, Siemens PLC, 02/2017 to 08/2017, £68,000, as PI
  • RateSetter: Improving passenger boarding rate and reducing risk at the Platform-Train Interface, Rail Safety and Standards Board Limited, 01/2017 to 03/2018, £124,234, as Co-PI.
  • JADE: Joint Academic Data science Endeavour, EPSRC, 10/2016 to 09/2019, £3,000,000, as Co-PI
  • Accelerating Transport Microsimulation: Demonstrating the impact of future many core simulations, Department for Transport, 09/2016 to 01/2017, £22,607, as PI
  • Mobility for Life: Traveller Focused Integrated Mulit-Modal Transport Model, EPSRC, 07/2016 to 01/2017, £49,868, as PI
  • SATGPU, Transport Systems Catapult Ltd, 10/2015 to 03/2017, £45,500, as PI
  • Digital Fruit Fly Brain, BBSRC, 09/2015 to 11/2018, £530,873, as Co-PI