Events

Bradford Hill Seminar Series; The Politics of Epidemiology and Public Health in the UK

Registration 

Lecture title: Evidence triangulation: moving from correlations to causes

Engage! - Autumn/ Winter 2025 - Why Tackling Health Inequalities Matters.

The Accelerate Programme for Scientific Discovery, based in the Department of Computer Science and Technology, offers support for researchers across the University to use AI in their research.

Integration of Data from Multiple Domains 

Keynote lecturer: Matthew Stephens, University of Chicago 'The Menagerie of Matrix Factorization Methods' 

Plus talks from Manuela Zucknick, University of Oslo and Gibran Hemani at the Unversity of Bristol 

In-person and remote attendance is available 

The Accelerate Programme for Scientific Discovery, based in the Department of Computer Science and Technology, offers support for researchers across the University to use AI in their research.

Please join the waiting list  for this one day Cambridge Cardiovascular event.

The Accelerate Programme for Scientific Discovery, based in the Department of Computer Science and Technology, offers support for researchers across the University to use AI in their research.

The AI Club brings together the Biomedical AI and Machine Learning community in Cambridge, to discuss common themes and explore different topics and methodologies. The sessions open conversations to inform, inspire, and connect researchers at all levels, on topics within computational biology, AI and bioinformatics.

It is aimed at College-based academics looking to develop their knowledge and understanding of impact in research. There will be presentations by colleagues from the University Research Strategy Office as well as from experienced academics with examples of impactful research.