The Global Goals
In 2015, UN member states agreed to 17 global 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?Ìý
- 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:
- funding for early stage development of new healthcare interventions - the study
- funding for Invention for Innovation - the study
- funded PhD studentship
Other academic activities:
- Winner of a 2024 poster prize
- Winner of the 2023 °µÍø½âÃÜ Three Minute Thesis competition
- Winner of the 2022 award for top poster
- Presenter at Health Data Science workshopsÌý
- Presenter at
- Presenter at Big Data group workshops
- Member of SUSTAIN South West
Roles on external bodies:
- Member of the Involvement Steering Group
Professional memberships:
- member
- member
Contact Megan