Professor Mark S Gilthorpe
- Position: Professor of Statistical Epidemiology
- Areas of expertise: Observational data science; causal inference; health data analytics; lifecourse methods; latent variable modelling
- Email: M.S.Gilthorpe@leeds.ac.uk
- Location: Room 11.21, Leeds Institute for Data Analytics Worsley Building
- Website: ORCID
I am a Professor of Statistical Epidemiology in the School of Medicine and the Leeds Institute for Data Analytics (LIDA), and a Fellow of the Alan Turing Institute for Data Science and Artificial Intelligence.
Trained as a mathematical physicist, my driving interest centres on improving our understanding of the observable world through modelling. After my PhD, I spent time as a consultant data analyst before being recruited into academia.
I have since fashioned a programme of interdisciplinary research that spans the gap between theoretical and applied data analytics, focussing particularly on modelling complexity and highlighting and solving common analytical problems in observational research.
My research and teaching interests have converged around the insights and utility of causal inference methods, and how these might be integrated with machine learning and AI; I am also a recognised expert in latent variable modelling and the analysis of longitudinal data.
I am especially keen on developing and promoting the unique collaborative and cross-disciplinary opportunities provided by LIDA and the Alan Turing Institute; as a Turing Fellow, I am engaged across the Turing network in promoting the development and application of causal inference methods in a range of applied domains.
Observational data analysis and causal inference.
- Alan Turing Fellow
Research groups and institutes
- Clinical and Population Science
- Leeds Institute of Cardiovascular and Metabolic Medicine