14 - 18 September 2026
White City Campus, Imperial College London
The Exposome Analytics course will be held at the School of Public Health, Imperia! College London, from September 74th to 78th , 2026. Each of the five days features a structured blend of theory and application, beginning with lectures introducing theoretical concepts, followed by engaging seminars and hands-on practical sessions. The daily themes will cover concepts from Computational Epidemiology, Causal Thinking, Machine Learning, Artificial Intelligence, and Deep Learning with a focus in exposome science.
Learning outcomes
Upon completion of the Exposome Analytics course, participants will be able to:
- Evaluate a range of Exposome Analytics approaches and their extensions
- lmplement these methodologies to analyse real-world datasets, and adapt to complex study designs
- lntegrate Exposome data to investigate specific outcomes of interest using regression and correlation models
- Infer causal, ML and AI approaches to analyse and integrate complex Exposome data
Who would benefit
Exposome Analytics is designed for academics (students and researchers) and industry scientists (pharmaceuticals, insurance, food industries) seeking to deepen their skills in machine learning and Al, causal inference, and computational modelling of high-throughput health data. Proficiency in basic statistics, R and Python programming is desirable.
Participants should bring their own laptops.
There is space for 40 participants.
Keynote speakers
Professor Marc Chadeau-Hyam
Professor of Computational Epidemiology and Biostatistics, School of Public Health, Imperial College London (United Kingdom)
Professor Roel Vermeulen
Professor, Institute for Risk Assessment Sciences, Utrecht University (Netherlands)
Professor Benoit Liquet
Professor, University of Pau et Pays de l'Adour, (France)
Course fees
£1300 for IHEN members and Exposome projects
£1500 academics
£2000 Private
Default payment is taken via card transaction. If you cannot pay by card please contact Professor Marc Chadeau-Hyam (m.chadeau@imperial.ac.uk).