The Global Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. Megan's work contributes towards the following SDG(s):
About Megan
Postdoctoral research fellow applying machine learning to medical imaging.
Research interests:
I am interested in using AI to solve problems in healthcare. My PhD focused on applying explainable deep learning to a number of medical imaging tasks. Projects I have been involved in include:
- Using machine learning to predict future strokes: Can artificial intelligence highlight those at greater risk of stroke?
- Using machine learning to predict outcomes after traumatic brain injury
- Using machine learning to detect Parkinson's disease in MRI brain scans
- Using natural language processing to classify pathology in radiology reports
- Using machine learning to detect aneurysm clips in CT head scans
Grants/contracts:
- MRC funding for early stage development of new healthcare interventions - the ABSTRACT study
- NIHR funding for Invention for Innovation - the BIRDI study
- EPSRC funded PhD studentship
Other academic activities:
- Winner of a 2024 Health and Care Research Conference poster prize
- Winner of the 2023 University of Plymouth Three Minute Thesis competition
- Winner of the 2022 Association of British Neurologists award for top poster
- Presenter at Health Data Science workshops
- Presenter at Peninsula Radiology Academy Research workshops
- Presenter at Big Data group workshops
- Member of SUSTAIN South West
Roles on external bodies:
- Member of the Parkinson's UK Involvement Steering Group
Professional memberships:
