Marc Chadeau-Hyam

Summary

My main research interest resides in the application of novel statistical approaches to answer biologically/epidemiologically-driven questions. My main focus has been on:

1- Computationally efficient models for profiling and integrating data from high-throughput platform

2- Dynamic models for disease progression: development of models to identify features driving disease dynamics and progression.

After graduating my PhD in statistics from the University Paris XI in 2005, working of the modelling of the French epidemic of variant Creutzfeldt-Jakob disease, I was awarded a personal grant to join the London School of Hygiene and Tropical Medicine. I joined Imperial College in 2005 as a Research Associate, and in 2009 I was appointed as a Research Fellow, in Prof Paolo Vineis's group. In 2011 I was promoted Lecturer, and Senior Lecturer (2016) in Statistical Bioinformatics in the Department of Epidemiology and Biostatistics. In 2013, I was awarded an Honorary Reader position at the Institute for Risk Assessment Sciences, at Utrecht University (NL). I also hold a degree of engineer in food sciences, majors in Statistics from a French grande école’ from the 'Agro group' (ONIRIS, former ENITIAA).

While my background is in disease modelling, my post-doctoral experience focused on the development and application of statistical models to analyse OMICs data. From my involvement in several large-scale projects I gained experience in the analysis of genetic, epigenetic, transcriptomic, proteomic and metabolomic profiles.

Alongside my project-based research, I have maintained methodological activities relating to the development of longitudinal models for the risk and progression of chronic disease.

At the confluence of these two research streams, my current research focuses on the analysis and integration of OMICs markers in relation to complex exposures and or health outcomes. This work aims at characterising molecular signatures of the exposome (including environmental exposures and social factors) and to explore the mechanisms involved in the mediation of these effects.

Teaching - Supervision

Since 2018, I have been the programme director of the MSc in Health Data Analytics and Machine Learning, in collaboration with the Data Science Institute. In the course I also lead two modules.

I am also involved in the MSc Epidemiology where I lead the Advanced Topics in Biostatistics module.

I coordinate the Exposome short couse series, which includes three one-week courses on statistical methods to explore the Exposome:

• Exposome Basis (Lead: R Vermeulen - Utrecht University)
• Exposome Advanced (Lead: M Chadeau-Hyam - ICL)
• Exposome Practice (Co-Lead: M Chadeau-Hyam - ICL - B Liquet UPPA, France)