Contact information
Websites
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CMD Research Informatics
Small Research Facility (SRF) providing bespoke data management and informatics solutions
Brian Marsden
BA (Cantab), MA (Cantab), D.Phil. (Oxon)
Associate Professor, Research Informatics & Data Management
- Director of the NDM Data Platform
- Associate Head, Medical Sciences Division (Digital & Information)
- Chair, University Research Computing Subcommittee
- Member of Information and Digital Committee (IDC) and Research Portfolio Committee
- Academic Lead of the Competency Centre for Cloud Computing and AI/ML
Brian is responsible for driving research informatics and research computing capabilities at NDM and in particular the Centre for Human Genetics and the Centre for Medicines Discovery.
After completing a D.Phil. within the Iain Campbell lab at the University of Oxford, Brian was awarded a Wellcome Trust Prize Fellowship which he spent at the Abagyan lab at the Scripps Research Institute, La Jolla, USA, devising novel methods for proteins structure superimposition and also implementing high performance compute and storage clusters. He then worked as part of the Computational Chemistry group at BioFocus PLC before settling down at the SGC in Oxford and now the Centre for Medicines Discovery where he continues to be responsible for all aspects of Informatics, IT and structural bioinformatics. He has a particular interest in the development of novel data capture and visualisation methods for structural and chemical biology data.
Since 2013, Brian has split his time with the Kennedy Institute where he and his team are responsible for the provision of IT capabilities as well as effective data management platforms to support the broad range of science within the Institute.
Recent publications
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A data science roadmap for open science organizations engaged in early-stage drug discovery.
Journal article
Edfeldt K. et al, (2024), Nature communications, 15
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Improving the representativeness of UK’s national COVID-19 Infection Survey through spatio-temporal regression and post-stratification
Journal article
Pouwels KB. et al, (2024), Nature Communications, 15
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Fragmenstein: predicting protein-ligand structures of compounds derived from known crystallographic fragment hits using a strict conserved-binding–based methodology
Preprint
Ferla MP. et al, (2024)
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Risk of SARS-CoV-2 reinfection during multiple Omicron variant waves in the UK general population
Journal article
Wei J. et al, (2024), Nature Communications, 15
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Persistence of SARS-CoV-2 antibodies over 18 months following infection: UK Biobank COVID-19 Serology Study
Journal article
Bešević J. et al, (2024), Journal of Epidemiology and Community Health, 78, 105 - 108