Teaching & supervision
I welcome enquiries from prospective PhD students interested in deep learning for medical imaging, uncertainty-aware AI, interpretable machine learning, and health data science.
Module co-ordinator · 2025–27
DASC512 introduces postgraduate students to the principles and applications of AI and machine learning in health contexts; including deep learning and Agentic AI.
Module co-ordinator · 2026–27
DASC513 gives postgraduate students the skills to apply statistical and AI models responsibly, using PPIE to co-design health models, data engineering techniques to ensure data is handled safely, and methodological techniques in order to improve equity through modelling.
University of Lancashire
A practical session on responsible approaches to using generative AI to share research more widely, including common pitfalls and ways to use automation frameworks to build more flexible AI applications.
North West Public Health Conference
An interactive exercise in evaluating a fictional AI company, exploring the claims, metrics, and issues that surround health AI—and how to ask the right questions when working with health AI partners.
Liverpool City Region
I presented at this public deliberation on what trustworthy and beneficial data and AI innovation should look like locally. The Assembly brought together 59 residents and informed the region’s Community Charter on Data and AI.