The RSLondon community is run/managed by a committee of volunteers based at a range of different institutions within the region. Our current committee members are:

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Iain Barrass
Queen Mary University of London
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Ilektra Christidi
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Jeremy Cohen
Imperial College London
James DesLauriers
James DesLauriers
University of Westminster
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Tom Dowrick
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Tom Roberts
NHS / King’s College London
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Amy Strange
The Francis Crick Institute
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Adam Witney
St George’s University of London

Iain Barrass, Queen Mary University of London

Iain Barrass is the Research Software Engineering Team Leader in IT Services Research at Queen Mary University of London. His software support work primarily covers HPC, but he is particularly interested in reproducibility, usability and quality aspects of research software. He is a fellow of the Software Sustainability Institute and has a research background in infectious disease modelling.

Ilektra Christidi, UCL

Ilektra is a Senior Research Software Developer within the Research Software Development Group in UCL’s Centre for Advanced Research Computing.

Jeremy Cohen, Imperial College London

Jeremy Cohen is an Advanced Research Fellow in the Department of Computing and Director of Research Software Engineering Strategy at Imperial College London. He has a Computer Science background and his work focuses on supporting and undertaking the development of research software across multidisciplinary collaborations, RSE community building, training and the development of policy and models for research software engineering activities. Jeremy is an EPSRC RSE Fellow. He started and currently leads Imperial’s local research software community and the RSLondon regional research software community.

James DesLauriers, University of Westminster

I am a Lecturer in the University of Westminster School of Computer Science & Engineering and a member of the Research Centre for Parallel Computing. My research interests are focused on applying cloud orchestration solutions to a range of topics in various fields, including securing cloud-enabled applications in healthcare, deploying digital twins to enable Manufacturing-as-a-Service, and launching science gateways for Space Science research.

Tom Dowrick, UCL

Tom is an EPSRC RSE Fellow, working on RSE for image guided surgery and medical devices. He has been at UCL since 2013, working on a range of medical imaging projects, developing both hardware and software solutions. Previously, he completed an PhD in Electronic Engineering at the University of Liverpool, working on hardware based neural networks.

Tom Roberts, NHS / King’s College London

Tom is an imaging scientist specialising in MR imaging of foetuses inside the womb of pregnant mothers. His research is particularly focussed on developing new methods for studying the anatomy and blood flow of the foetal heart. Tom works closely with the radiologists and foetal cardiologists at St Thomas’ Hospital and the Evelina Children’s Hospital to turn cutting-edge research software into tools which can be used routinely by clinicians.

Amy Strange, The Francis Crick Institute

Amy is the Head of Software Engineering and AI at the Crick, she joined the institute 5 years ago with an extensive industry and commercial background, and works with a committed and capable team of research software and machine learning engineers supporting Crick researchers with computational solutions to a wide range of biomedical data problems. The team also has a mandate to educate, train and support researchers and PHD students across the organisation, providing computational training resources and best practice support.

Adam Witney, St George’s University of London

Adam’s research interests span the fields of computational analysis of complex datasets, such as next generation sequencing (NGS) and microarray data, and the design and implementation of biological databases. Currently, Adam plays a central role in multiple collaborative projects and activities across several research centres and institutes within St George’s, University of London and St George‚Äôs Healthcare NHS Trust, as well as externally. Specifically, Adam is developing computational pipelines for the implementation of NGS analysis within the context of clinical microbiology, and has applied these to various pathogens such as Mycobacterium tuberculosis and Pseudomonas aeruginosa. He is also involved in various research projects investigating the genomics of Neisseria gonorrhoea and Klebsiella pneumoniae in clinical samples.