Dr Natassa Spiridou, DRE Design and Delivery Lead
Natassa has over 15 years’ experience in bioinformatics through roles at Cancer Research UK and Illumina delivering analysis packages, databases and visualisation tools. Natassa has previously led projects at the Biomedical Research Centre at Kings College London and Guy’s and St Thomas’ Trust involving data linkage, setting-up a research platform and establishing informatics and governance for the use of primary care data in partnership between the university, commissioners and public health. Natassa is the lead for the DRE team.
John Booth, DRE Senior Data Steward
John has worked in IT for over 30 years across many industry sectors and has been developing SQL database systems since the mid 90’s. At GOSH John has specialised in data extraction from complex healthcare systems for clinical research and now leads on the emerging FHIR standard for interoperability of research data. John is currently undertaking an MSc in Data Science to further his data analytic skills and is the Senior Data Steward in the Digital Research Environment (DRE) Team.
Dr Richard Issitt, DRE Communications and Engagement Lead
Richard is a Paediatric Clinical Perfusionist at GOSH and specialises in cyanotic pathophysiology and techniques enabling incompatible heart transplantation. Richard has published more than 20 research articles and his current research interest is in data stream visualisation from medical equipment to enable predictive modelling of clinical outcomes. Richard is leading the engagement with staff across GOSH and UCL’s Institute of Child Health promoting the DRE and use of the research platform.
Dr Will Bryant, DRE Data Scientist
Will has previously worked in academia with a focus on multi-omics data integration to gain insight into bacterial/host metabolic interactions. He is the lead for image analysis, enablement and support within the DRE team and supports various projects in clinical research, image analysis and computer vision. Will is also involved in developing the in-house data model for merging multiple streams of clinical data for research, including external interoperability using FHIR.