معرفی
Megan Courtman is a Research Fellow at the Peninsula Medical School, University of Plymouth, specializing in applying machine learning to medical imaging for healthcare solutions. Her research focuses on explainable AI models for diagnostics, including stroke prediction and Parkinson’s disease detection in MRI/CT scans. She holds a PhD in Health Data Science (2024) and an MSc in Data Science & Business Analytics (2020), both from the University of Plymouth, alongside a BA in History from the University of York (2014).
Education: Megan’s academic journey includes
- PhD: Health Data Science, University of Plymouth (2020–2024)
- MSc: Data Science & Business Analytics, University of Plymouth (2019–2020)
- BA: History, University of York (2011–2014)
Her research interests integrate computational methods with clinical applications, emphasizing interpretability through explainable AI. Key areas include medical imaging classification, neural network development, and leveraging NLP for pathology analysis in scan descriptions. Her work aligns with UN Sustainable Development Goals targeting health and well-being.
Megan’s publications and conference contributions reflect a growing emphasis on AI-driven medical diagnostics, particularly in neurological conditions. She has explored MRI-based detection of Parkinson’s and related disorders, CT aneurysm clip identification for imaging safety, and NLP techniques for preprocessing medical data.
Awards and Recognition:
- 2024 Health and Care Research Conference poster prize
- 2023 University of Plymouth Three Minute Thesis winner
- 2022 Association of British Neurologists award for top poster
Advising & Grants:Megan has secured grants from the MRC and EPSRC for healthcare intervention development and has led interdisciplinary projects. While no formal advisees are listed, her collaborative projects involve mentoring roles within research teams. Notable grants include
- MRC funding for stroke prediction AI (2024–2026)
- EPSRC PhD studentship (2020–2024)
Affiliations: She is part of the SUSTAIN South West, Big Data group, and Applied Parkinson’s Research Group, alongside professional memberships in the European Stroke Organisation, International Parkinson and Movement Disorder Society, and British Institute of Radiology.
