Glen Martin

Glen Martin is a Senior Lecturer in Health Data Science at the University of Manchester's Health e-Research Centre. His work focuses on improving healthcare through advanced statistical methods applied to clinical prediction models, observational data analysis, and evidence synthesis. He teaches on MSc programs in Health Data Science and Health Informatics, emphasizing practical applications of data science in healthcare.

Education includes a PhD in Health Informatics (University of Manchester, 2017), MSc in Statistics (Lancaster University, 2014), and BSc in Mathematics (Lancaster University, 2013). His research spans four core areas: observational data mechanisms, risk model optimization, model reuse strategies, and clinical application of statistical methodologies.

Recent publications highlight contributions to sample size frameworks for clinical models, remote monitoring in mental health, and adverse event prediction in rheumatology. Awards include a Turing Fellowship (2021-2022) and membership in the Royal Statistical Society. He leads projects like the Social Care Strengths and Vulnerability Index and the Holistic Multi-Morbidity Prediction Initiative.

Key collaborations involve the Alan Turing Institute and institutions across the UK. His work aligns with UN Sustainable Development Goals, particularly in advancing healthcare equity and innovation.