Population Health Data Science Research Seminar Series
Each seminar has a featured speaker(s) and theme and there will be an opportunity to connect and ask about their work.
Staff and students from Queen Mary and Barts Health NHS Trust are invited to join us, to:
- See and share examples of research excellence in health data science from across the Wolfson Institute of Population Health (WIPH) and Barts Cancer Institute (BCI), Queen Mary, Barts Health, and more widely
- Develop deeper knowledge of the many health data sources available for research and hear directly from colleagues who are using them
- Meet new collaborators and share expertise in using electronic health records and multimodal data to improve population health
Upcoming
Thursday 19 March 2026, 13-13.50pm
Robin Flaig, University of Edinburgh: 'UK Longitudinal Linkage Collaboration'
Robin Flaig presents an overview of UK Longitudinal Linkage Collaboration (UK LLC), which is the national Trusted Research Environment for data linkage in longitudinal research. UK LLC brings data from Longitudinal Population Studies (LPS) together with health, administrative and place-based data and makes it available to UK researchers via a single application. The large scale and diverse linked data provides depth of detail, and offers the numbers for researchers to study rarer outcomes and seldom-reached populations.
UK LLC is a collaboration of 22 of the UK’s most established LPS. It is run by the Universities of Bristol and Edinburgh, in collaboration with UCL, SeRP UK, Swansea University, University of Leicester and City St George’s, University of London and has an infrastructure partnership with Population Research UK.
Thursday 23 April 2026, 12-12.50pm
Presentation by Zhiqiang Huo, Wolfson Institute of Population Health, Queen Mary
Past seminars
With the consent of the speakers, recordings of our seminars are available to watch here after the event.
Segun Fatumo: Harnessing African genomic diversity for global precision medicine
23 February 2026
Andrew Snelling: Conducting research in the QResearch database
12 January 2026
Jo Waller: Nesting psychological studies within cancer screening trials
24 November 2025
Lei Lu: Using deep learning AI models to unlock insights from electrocardiogram (ECG) data
20 October 2025
Michal Shimonovich: Does improving the energy efficiency of homes also improve health outcomes?
1 October 2025
Nida Ahmed: A prediction model for stroke after Transcatheter Aortic Valve Implantation
PhD and Early Career Researcher showcase, 25 September 2025
Elif Dogu: Machine learning across the care pathway
PhD and Early Career Researcher showcase, 25 September 2025
Ben McGuirk: Multi-cancer risk prediction models for early detection of upper gastrointestinal cancers
PhD and Early Career Researcher showcase, 25 September 2025
Venet Osmani: Transforming medical practice through Generalist Clinical AI
16 June 2025
Amar Dhand: Social network interventions in medicine
10 March 2025
Jianfeng Feng: Predicting and diagnosing Alzheimer’s disease with multi-scale data
24 February 2025
Rupert Pearse: Public health for the surgical patient
14 November 2024
John Prowle: Using Creatinine as a biomarker of muscle loss
21 October 2024
Rebekah Young: Barriers and facilitators to the use of a digital behaviour change intervention in lung cancer prehabilitation
PhD and Early Career Researcher showcase, 23 September 2024
Alison May Berner: Exploring cancer risk, screening and treatment in the transgender population
PhD and Early Career Researcher showcase, 23 September 2024
Tahania Ahmad: Ethnic and socio-economic disparities in cancer survivors
PhD and Early Career Researcher showcase, 23 September 2024
Kevin Wing, Paris Baptiste: Designing observational studies to emulate a randomised controlled trial
20 June 2024
Anna Schultze: Open science for epidemiologists: Should we all be publishing our code?
16 May 2024
Zahra Raisi-Estabragh: Using cardiovascular imaging in population health data science
25 March 2024
John Ford: Using machine learning to build 'Living Evidence Maps'
15 January 2024
Hannah Brewer: The Cancer Loyalty Card study
14 December 2023
Jianhua Wu: An AI-based algorithm to predict atrial fibrillation in general practice
2 November 2023
Organising committee
Co-chairs: Rohini Mathur, Jianhua Wu (WIPH) and Claude Chelala (BCI)
Committee members: Fabiola Eto, Judith Offman, Stuart Rison, Mary Thomas, Nicola Firman, Marta Wilk, Sara Calhas, Petra Proitsi, Anna Billington (WIPH)