Professor Chris P. Gale
- Position: Professor (Clinical)
- Areas of expertise: Clinical Cardiology; Cardiovascular Medicine; Use of population-based data in observational and randomised formats to study cardiovascular care and outcomes
- Phone: +44(0)113 343 8916
- Location: 11.73 Worsley Building
- Website: | Twitter
Profile
I am a Professor of Cardiovascular Medicine, Honorary Consultant Cardiologist, and Co-Director of the Leeds Institute for Data Analytics at the University of Leeds.
Qualifying in medicine at the London Hospital Medical College and obtaining a BSc (Hons) in Psychology, Professor Gale worked as a Junior Doctor at the Royal London Hospital. After becoming a Member of the Royal College of Physicians, I became a Medical Research Council Clinical Training Fellow and completed a PhD in molecular biology at the University of Leeds.
Speciality training in Cardiology was undertaken principally at the Leeds General Infirmary, where Professor Gale was a Walport and later a NIHR Academic Clinical Lecturer, then achieving a NIHR Clinician Scientist Award, and subsequently NIHR Clinical Trials Fellowship. I hold a Masters in Clinical Education and a Masters in Biostatistics and Epidemiology. My clinical interests are general cardiology and chronic heart failure. I am a practising Clinical Cardiologist with interests in general cardiology, post-myocardial infarction survivorship, and chronic heart failure.
My research incorporates the efficient use of observational and randomised data to deliver population-based studies of cardiovascular quality of care and clinical outcomes. This includes the use of multi-source electronic health records for trial design, outcomes capture and taxonomy of cardiovascular survivorship. Presently, I lead a research group in the MRC Medical Bioinformatics Centre at the Leeds Institute for Cardiovascular and Metabolic Medicine, University of Leeds. I hold major research awards predominantly from the NIHR, British Heart Foundation and Horizon 2020, and have published over 160 research manuscripts in peer reviewed journals, including JAMA, Lancet, BMJ, EHJ, JACC.
I am a member of the British Cardiovascular Society, British Society for Echocardiography, British Society for Heart Failure, Fellow of the Royal College of Physicians of London and Fellow of the European Society of Cardiology. I’m a member of the MINAP Academic and Steering Groups and a member of the National Heart Failure Audit Academic Group. I’m a past co-Chair the National Institute for Clinical Outcomes Research (NICOR) Research Board, UCL. I’m Chair of the oversight committee of the European Society of Cardiology EURObservational Research Programme, Chair of the ESC NSTEMI registry, member of the ESC Working Group for Performance Measures, and a member of the NICE Indicator Advisory Group. I am Deputy Editor of European Heart Journal Quality of Care and Clinical Outcomes and academic reviewer for a number of high impact journals including Lancet, Heart and Circulation Cardiovascular Quality and Outcomes.
Responsibilities
- Co-Director of the Leeds Institute for Data Analytics
Research interests
The use of population-based data in observational and randomised formats to study cardiovascular care and outcomes.
Qualifications
- BSc (Hons), MB;BS, Ph.D, MEd, MSc, FESC, FRCP
Professional memberships
- Fellow of the Royal College of Physicians of London
- Fellow of the European Society of Cardiology
- British Cardiovascular Society
- British Society for Echocardiography
- British Society for Heart Failure
Research groups and institutes
- Leeds Institute of Cardiovascular and Metabolic Medicine
- Clinical and Population Science
- British Heart Foundation - Cardiovascular research
- Populations
- Multidisciplinary Cardiovascular Research Centre
Current postgraduate researchers
<h4>Postgraduate research opportunities</h4> <p>We welcome enquiries from motivated and qualified applicants from all around the world who are interested in PhD study. Our <a href="https://phd.leeds.ac.uk">research opportunities</a> allow you to search for projects and scholarships.</p>Projects
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<li><a href="//phd.leeds.ac.uk/project/150-licamm-a-machine-learning-approach-to-understand-the-disease-trajectories-of-atrial-fibrillation.">LICAMM A machine learning approach to understand the disease trajectories of atrial fibrillation.</a></li>