Overview

Profile summary

Postdoctoral research fellow applying machine learning to medical imaging.

Research interests:

I am interested in applying machine learning 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 AI to predict future strokes: Can artificial intelligence highlight those at greater risk of stroke? 
  • Using explainable deep learning to detect Parkinson's disease in MRI brain scans
  • Using explainable deep learning to detect MSA/CBS/PSP in MRI brain scans
  • Using explainable natural language processing to classify pathology in scan descriptions
  • Using explainable deep learning to detect aneurysm clips in CT head scans

Grants/contracts:

  • MRC funding for early stage development of new healthcare interventions
  • EPSRC funded PhD studentship

Other academic activities:

Professional memberships

Roles on external bodies

Member of the Parkinson's UK Involvement Steering Group

Additional information

Expertise related to UN Sustainable Development 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. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being

Academic qualifications

11 Computing, Doctorate, PhD Health Data Science, University of Plymouth

1 Oct 202026 Sept 2024

Award Date: 26 Sept 2024

11 Computing, Other higher degree (e.g. Masters degree), MSc Data Science & Business Analytics, University of Plymouth

20192020

Award Date: 17 Nov 2020

20 Historical, philosophical and religious studies, First Degree, BA History, University of York

20112014

Award Date: 16 Jul 2014

Research Interests

  • Artificial Intelligence
  • Machine learning
  • Deep learning
  • Computer vision
  • Data science
  • Health data science
  • Explainable AI

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