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I am a Research Scientist by background, with a PhD in Neuroscience. I specialised in neuroimaging, specifically Magnetic Resonance Imaging (MRI). I have investigated the neural, vascular and metabolic function of the human brain and how these functions change in Multiple Sclerosis. I have developed and refined methods of measuring brain signals, examining different interpretations of what these signals tell us about brain health.
🧠 (2022 - Present) Data Wrangler at The Alan Turing Institute
Click for more details - What is a Data Wrangler?
Data Wranglers can be viewed as a specialised type of data scientist, read a description from The Turing Way book: https://the-turing-way.netlify.app/collaboration/research-infrastructure-roles/data-wrangler.html.
The research projects I work on use large population health databases (often electronic health records derived from primary care data). This data rarely comes AI-ready or research-ready. I create re-usable, accessible and efficient analytical workflows to help prepare data for specific use cases.
🧠 (2024 - Present) Member of the CPRD Scientific Advisory Group
Click for more details - What is CPRD?
"Clinical Practice Research Datalink (CPRD) is a real-world research service supporting retrospective and prospective public health and clinical studies." See: https://www.cprd.com/
The role of the Scientific Advisory Group is to provide advice to the Medicines and Healthcare products Regulatory Agency (MHRA) on the overall scientific direction and strategic priorities for its Clinical Practice Research Datalink (CPRD) service.
🧠 2025 Software Sustainability Institute (SSI) Fellow
Click for more details - What is the SSI?
The SSI works to "help people build better software and more sustainable research software to enable world-class research." https://www.software.ac.uk/about
In 2025 I was accepted onto the SSI Fellowship programme (https://www.software.ac.uk/programmes/fellowship-programme). The main goals of the Programme are to improve and promote good computational practice across all research disciplines and support those who are doing this important work. My fellowhip plans will promote and enhance the activities of the Physiopy community.