• Senior Lecturer in Health Data Science, University of Manchester
• Research interests in methods for developing, validating and implementing clinical prediction models, and the application of such methods to solve real-world healthcare challenges.

Glen is a Senior Lecturer in Health Data Science in the Division of Informatics, Imaging and Data Science at the University of Manchester. His research focuses on developing and implementing clinical risk prediction models using large-scale health data, with expertise in multivariate modelling, missing data, and model translation. He holds a PhD in Health Data Science and is a Chartered Statistician. Glen has led and contributed to major research projects funded by NIHR, MRC, Wellcome Trust, and others, and has published over 130 peer-reviewed papers. He is Programme Director for the MSc Health Informatics programme, jointly delivered with UCL, and is a Fellow of the Higher Education Academy.

Glen's research focuses on improving healthcare through the effective use of clinical prediction models to underpin prevention and early detection of disease. He is interested in addressing key methodological challenges to ensure that such prediction models are both scientifically rigorous and practically useful. Specifically, Glen's research spans four interrelated themes:

1. Multivariate (multi-outcome) risk prediction – developing methods to model multiple outcomes simultaneously. That is, allowing prediction models to estimate an individual's risk of different combinations of multiple health outcomes/events (e.g., risk of multimorbidity).
2. Handling missing data in prediction modelling – advancing techniques to handle incomplete data when developing, validating and implementing prediction models.
3. Risk model development for primary and secondary prevention – developing and validating models for different clinical applications and healthcare challenges. I have particular interests in cardiovascular, cancer risk and social care.
4. Implementation and translation of prediction models – improving the integration of models into clinical practice to maximise their impact. For example, examining methods to evaluate their impact on health outcomes.

Glen is the Programme Director (UoM side) for the MSc Health informatics (UCL/UoM joint Award). On this programme, Glen teaches on the following units: 

• Unit lead for "Applied Health Data Analystics" module (15 credits)
• Lecturer on "Digital Transformation Project" module (15 credits)
• Dissertation project supervision

• 2014-2017: PhD Medicine (Health Informatics), University of Manchester. Thesis Title: "Methodology in Developing Clinical Prediction Models within Local Populations: applications in transcatheter aortic valve implantation".
• 2013-2014: MSc Statistics, Lancaster University
• 2010-2013: BSc Mathematics, Lancaster University

Email: [email protected]

Royal Statistical Society, CStat

Statistics