The Team: Data-Driven Insight and Prediction

Meet the Team: Workpackage Five

Director - Professor Bruce Guthrie

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Bruce Guthrie

Bruce Guthrie is Professor of General Practice at the Usher Institute, in the Edinburgh Medical School.

Bruce is a mixed methods health services researcher with an interest in the quality and safety of health and social care, particularly in relation to multimorbidity and polypharmacy. As well as research, he works clinically as a GP and works closely with the NHS and government to improve healthcare quality and safety.

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Workpackage Lead - Dr. Alan Marshall

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Alan Marshall - Headshot

Alan Marshall is Senior Lecturer in Quantitative Methods and Director of the Research Training Centre within the School of Social and Political Science. His research draws on longitudinal data from social surveys and administrative data, in the UK and overseas, to better understand the social and biological determinants of inequalities observed in health and wellbeing in later life.

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Workpackage Lead - Dr. Sohan Seth

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Seth Sohan - Headshot

Sohan Seth is a Senior Data Scientist at University of Edinburgh’s School of Informatics with a background in Machine Learning and Data Science. His research focuses primarily on building interpretable models for extracting information from scientific data.

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Affiliate - Dr. Aja Murray

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Aja Murray photo

Aja Murray is a Lecturer in Psychology in the School of Philosophy, Psychology, and Language Science. She specialises in lifespan development and associated quantitative (psychometric and longitudinal) methodologies.  She has a particular focus on illuminating determinants of developmental trajectories of cognitive function and mental health, both in child and adolescent development and in ageing. 

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Research Associate - Dr. Carys Pugh

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Carys Pugh photo

Carys Pugh is a postdoctoral epidemiologist. She is interested in integrating routinely collected patient data into methods for improving care.

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Research Associate - Debby Lipschutz

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Debby Lipshutz headshot

Debby is a research associate with experience in Data Science, Quantitative Genetics and  Statistical and Epidemiological Modelling both in Academia and in Industry. She enjoys multi-disciplinary projects and her overarching interest is the application of mathematical, statistical and computational methodologies to answer questions relating to healthcare and infectious diseases.

 

You can find out more about Debby on their profile page.

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