Current members of the Research Software Engineering team are listed below. Previous members of the team can be found on our Alumni page.
Paul is an EPSRC Research Software Engineering Fellow. Paul’s career as an academic researcher has always been focused on the development of software to support research, predominantly through the application of emerging hardware architectures to complex systems simulation. His technical expertise in GPU computing has led him to work more broadly, engaging with researchers in a wide range of domains to embed accelerated and GPU computing into their research ecosystems. His background in independent research means that he self-identifies as a Research Software Engineer with a strong emphasis on research relating to the application of GPUs. He is the director of the RSE group and oversees and manages team members and their more broad contribution to projects around research software development.
Daniele joined the RSE team in 2020. He mainly supports:
In CompBioMed, he optimises biomedical applications and workflows to make them ready for the next generation exascale supercomputers (i.e. machines capable of computing 10^18 floating point operations/second) and Cloud-HPC. The pFIRE (Parallel Framework for Image Registration) is one of the applications under development in CompBioMed.
Daniele has a PhD in “Interdisciplinary Sciences and Technologies” and a Laurea cum Laude in “Information Systems Engineering”, from the Universita’ del Salento in Lecce, Italy. His expertise spans from parallel and distributed computing, GPU computing, bioinformatics, machine learning, and computational mechanics.
Before joining the RSE team, he worked as Research Associate on a range of multidisciplinary projects:
Bob is a senior research software engineer who started his career in software and databases after completing a degree in Applied Physics at the University of Durham. After four years in the private sector, he did a PhD in Biophysics at the University of Leeds, before working as a postdoc researcher at the University of Sheffield in several departments, including Physics and Astronomy, Molecular Biology and Biotechnology Mechanical Engineering and the Dental School, reflecting an unusually broad range of research interests spanning microscopy, microbiology, engineering and healthcare.
An accomplished researcher with some important publications, as a software engineer Bob collaborates with researchers to develop and improve software. This of course involves writing code, but also lots of liaison, discussion, leadership and, most importantly, listening!
Bob’s role includes contributing to the management of the RSE team, under Paul Richmond’s leadership. His work includes:
David is a Senior Research Software Engineer with a research background in optical physics and sensory biology. Following a PhD and postdoc at the University of Bristol and a postdoc at Lund University David made the transition to research software engineering in 2019.
His interests in research software relate to: impact enhancement, reproducibility and sustainability, best practice and environmental and social responsibility, in addition to interests in training researchers in research software.
In 2022, David became a fellow of the Software Sustainability Institute with a project on developing guidance and training around reproducible research in MATLAB.
He has been involved in numerous research projects including:
dockerising and python packaging NLP tools.
Dan joined the RSE team in December 2022. His background is in Cognitive Neuroscience, completing his PhD at Goldsmiths in 2016. Since then he has worked as a Research Fellow at Birkbeck and the University of Surrey and as Research Technician at the University of Reading. He has experience of writing research software and analysis pipelines using R, Python and Julia. He is also a keen advocate of open and reproducible research practices.
Edwin joined the RSE team in October 2022. He comes from a background in geophysics following a BSc and MSc in Geophysical Sciences at the University of Leeds. After university, he worked in the private sector, developing machine learning (ML) workflows to solve geophysical imaging and inversion problems.
Edwin has practical experience in the designing, training and evaluation of ML models. He is experienced in Python having worked with data science libraries such as Numpy, Pandas, Scikit-learn, Tensorflow and Keras. He has a growing interest in MLOps (Machine Learning Operations) and the practical challenges of scaling up ML practices.
Robert is a Research Software Engineer in the process of completing his PhD at the University of Sheffield. He specialises in GPU accelerated computing and complex system simulations, following his PhD’s focus on improving the performance of spatial communication in GPU accelerated algorithms.
He is currently working on the PRIMAGE project, which proposes an open cloud-based platform to support decision making in the clinical management of two paediatric cancers. In particular, wokring towards the development of a cell scale model of neuroblastoma to be scaled across multiple GPUs and distributed HPC resources.
He is also contributing towards the new version of FLAMEGPU software framework, facilitating wider access to complex systems modelling on GPUs.
Peter is a Research Software Engineer in the process of completing his PhD at the University of Sheffield. He specialises in GPU accelerated computing and complex system simulations; including transport network simulation and biological cellular simulations. He is currently working on the STriTuVaD project (a Horizon2020 project), which focuses on the use of in silico trials to support and improve tuberculosis vaccine development.
Twin is a Research Software Engineer who completed his PhD at the University of Sheffield. He specialises in High-performance agent-based pedestrian simulation, Parallel computing using GPUs, Virtual reality and Deep learning. He currently provides consultancy, training and technical support for researchers on Deep learning and other GPU related software engineering problems.
Matt is a Research Software Engineer in Complex Systems. He has a background in computer graphics, using physical-modelling to produce animations. He has recently completed his PhD on modelling the human mouth using the finite element method and also has experience with fluid simulation. Aside from physical-modelling, he also has research experience working with virtual and augmented reality.
Matt’s work on the team primarily revolves around the development of FLAMEGPU and advocating the use of GPU computing to support research. He is currently improving the performance of a model of tuberculosis spread.
Neil has taken a convoluted path to reach his current role as research software engineer. After completing his undergraduate (BSc Zoology and Genetics) and post-graduate (MSc in Genetic Epidemiology) at The University of Sheffield he spent a number of years as a Genetics Statistician researching the aetiology of complex human diseases learning UNIX system administration and literate programming along the way at University of Manchester, and University of Western Australia before returning to University of Sheffield. He then shifted careers to medical statistics and spent eight years working at the Clinical Trials Research Unit at the University of Sheffield. Throughout this time Neil developed and became enthusiastic about reproducible research and developed practical approaches to achieveing reproducible research in R using RMarkdown.
In 2018 he left academia for the private sector working for a telematics company using data captured from mobile phones and “black boxes” to quantify drivers behaviour. Here he developed an understanding of working with geo-spatial data and learnt Python along with various aspects of good software development practice and version control of software using Git.
For queries relating to collaborating with the RSE team on projects: email@example.com
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