Summary
Tom Veale is a Senior Data Analyst with a PhD in imaging neuroscience and six years of hands-on experience turning large neuroimaging datasets into actionable insights for dementia research and public policy. He has built scalable UNIX- and Python-based pipelines to preprocess and visually assess hundreds of MRI scans, merged imaging with clinical and biomarker data, and applied rigorous statistical modelling in R including mixed-effects models. At UCL he taught data science in healthcare, reviewed international conference abstracts, and developed interactive RShiny visualisations; he now applies this technical and translational skillset at the Department for Education. His background spans psychology, neuroimaging, and machine learning, including bespoke deep-learning solutions for challenging datasets and prior work processing over 1,000 scans. Colleagues value him for collaborative problem-solving across multidisciplinary teams and for turning complex research workflows into reproducible, production-ready analyses. Based in Sheffield, he combines academic publication experience with practical data engineering to deliver impact-focused analytics in health and government contexts.
6 years of coding experience
2 years of employment as a software developer
MSc Brain Imaging, Cognitive Neuroscience, MSc Brain Imaging, Cognitive Neuroscience at University of Nottingham
A Levels:
Sociology: A*
Biology: A
Psychology: A, A Levels:
Sociology: A*
Biology: A
Psychology: A at South Bromsgrove High
University College London