Centre for Data Science
Developing new theory and algorithms, to make sense of novel data
The UCL Centre for Data Science is a UCL-wide research and innovation initiative. We develop new mathematical and statistical theory, and quantitative and computational methods, to help make sense of large, complex data sets. Our work is helping to shape the emerging field of data science, and has application in a wide variety of scientific disciplines.
Our researchers collaborate with several university, industrial, commercial and governmental partners, in the UK and internationally. Our major activities include academic and industry-focussed research, data science executive education, expert consultancy, and scientific workshops and conferences.
We also contribute actively to the public conversation around data science, and the opportunities and challenges it presents.
With increasing volumes of data being generated and processed by scientists, governments and the public, methods for acquisition, computation, analysis, storage, and retrieval must evolve to keep pace.
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Symposium – Data Science in Public Health
Description
The UCL Centre for Data Science is hosting a half-day symposium on Data Science in Public Health on Wednesday 3 December 2025, at De Morgan House, London Mathematical Society.
UCL has a rich and diverse community of researchers applying data-driven methods to address public health challenges — from digital health and epidemiology to policy evaluation and health equity. This symposium will bring together researchers from across the university to showcase recent work and foster cross-disciplinary discussion on the opportunities and challenges of using data science to improve population health.
Confirmed speakers
Professor Rob Saunders (Clinical, Educational and Health Psychology)
Dr Gabrielle Marsden (Wolfram Research)
Dr Nathan Green (Statistical Science)
Professor Christina Pagel (Clinical Operational Research Unit)
Dr Emma Beard (Epidemiology & Public Health)
Mr Vincent Grigori (Epidemiology & Health Care)
Dr Steve Harris (Clinical Epidemiology)
Dr Laura Horsfall (Clinical Epidemiology)
Provisional programme
1300-1310: Welcome
1310-1415: Session 1
1415-1435: Coffee break
1435-1540: Session 2
1540-1600: Coffee break
1600-1700: Panel discussion
1700-1800: Networking drinks
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