Register your interest for causality in biomedicine course

The course, organised by Chancellor's Fellow Sjoerd Beentjes and Ava Khamseh from the School of Informatics, provides an introduction to causal inference and causal representation learning – emerging fields in AI and biomedical data science.

These approaches have significant applications in biomedicine, such as evaluating treatment effectiveness, understanding causal mechanisms, identifying genetic risk factors, and uncovering causal relationships in complex molecular datasets. 

Participants will learn how to apply these methodologies to various biomedical data types, including clinical, genotype-phenotype, molecular, and multimodal data.

This course – which is the first-ever EMBO course on causal inference and causal representation learning – offers both theoretical foundations and hands-on training, bringing together world-class experts from the University of Edinburgh, Harvard TH Chan School of Public Health and the Broad Institute of MIT and Harvard.

Register your interest now and get a reminder when the course opens for applications in March 2026: 

Causality in biomedicine: going beyond associations | EMBL-EBI