The DRE Team
Dr Will Bryant, Senior Data Scientist
Will has worked in the DRE team at GOSH since 2018 as a data scientist, consulting on all aspects of research in the Trust especially regarding data science, programming and maximising the use of research infrastructure. He has a particular focus on strategic and operational analytics and aspires to integrate reproducible analytics pipelines and open code into standard innovation practice in the NHS. Will has a background in computational biology and has a PhD in biochemical engineering.
Daniel Key, Senior Data Engineer
Daniel started at GOSH in 2020, working with the DRE team to create and nurture systems that bring good data to the right places. He has around 12 years’ experience in medical data, including leading the data function at a health start-up (33N) while they delivered a national programme (CLEAR) for NHS workforce/service redesign; and building the data collection and delivery systems for a long-term cohort study (SABRE) about ethnic disparities in cardiovascular outcomes at Imperial and UCL. He also brings experience from other sectors including includes financial services.
Victor Banda, Senior Data Analyst
Victor joined the DRE team in July 2022 and brings with him 9 years of experience in medical research data management.
He has conducted health data science projects in patient level predictions, and supported research studies with data needs, pipeline development, curation and conversion of datasets to a common data model, and onboarding to the HDRUK Innovation Gateway and their findability on the Cohort discovery tool.
Victor has an MSc in Data Science and holds a BSc (Computer Science and Statistics).
Dr Lydia Briggs, Data Scientist
Lydia joined GOSH in 2020 as a Data Scientist and is involved in the development of dashboarding and machine learning tools to help operational projects within the Trust. Additionally, she provides analytical and statistical support for clinicians and researchers using data provided by the DRE.
Lydia has a background in Medicinal and Biological Chemistry and previously worked in academia where her PhD specialised in crystallography refinements and synchrotron science in locating gaseous binding sites in porous materials for applications involving clean air technologies.
Mohsin Shah, Data Engineer
Mo joined GOSH in 2020 as a Data Engineer. His main priority is to gather requirements from users of the DRE and make sure they get the data they need.
Dr Pavithra Rajendran, Data Engineer
Pavi joined the team in July 2022 and has around 7 years of academic and commercial experience as an NLP (Natural Language Processing) specialist. Previously, worked at KPMG UK as an NLP data scientist and has experience using both traditional and deep learning-based NLP techniques for various client projects in both public and private sectors, from Proof-of-Concept to Production (Healthcare, Oil and Gas, Travel, Finance etc.) and, translating academic knowledge/research for commercial settings as well as latest commercial technologies by identifying the gaps and presenting with appropriate solutions for the business problems. She holds a Masters in Advanced Computing (Machine Learning, Data Mining and High Performance Computing) and a PhD in Computer Science (Natural Language Processing).
Rosie Hamilton, Data Engineer
Rosie joined GOSH in 2020 as a Data Engineer and is involved with the improvement of research data management at GOSH. In particular, providing support to studies that use REDCap, a tool for electronic data capture in research, and the implementation of the FAIR data principles through the development of data standards.
Prior to GOSH, Rosie worked at The Health Foundation, assisting with applications for access to large administrative datasets, and exploratory data analysis of routinely collected primary care data. Rosie also has experience in clinical research, providing clinical trial and data management support to two large multicentre studies at the UCL Comprehensive Clinical Trials Unit.
Sebin Sabu, Data Engineer
Sebin started at GOSH in 2022 as a Data Engineer. He is very interested on building decision support systems grounded on EHR data. Before joining GOSH, he worked as a part of a digital healthcare start-up based in India. He also have a multidisciplinary research background in Computational Cognitive Neuroscience, Lightning Physics, Data crowdsourcing and Smartphone Sensing.
Sharath Pasula, Data Engineer
Sharath joined GOSH in 2022 as a Data Engineer. He previously worked with Data warehouse and Business Intelligence teams within the NHS.
Sharath is experienced in extracting and consolidating data from various source systems and build reporting, key performance indicators and national submission pipelines. He's worked on Extract, Transform, and Load data, embracing distributed and parallel computing and configured clustered services to improve performance and accommodate emerging business rules.