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 from high-throughput platform: development and application of ad-hoc approaches to analyse OMICs data
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 in Statistical Bioinformatics in the Department of Epidemiology and Biostatistics, and 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 integration of OMICs markers in mechanistic models for chronic disease progression.
Teaching - Supervision
I am involved in the BSc Global Health and in the MSc in Epidemiology, where I lead the `Topics in Biostatistics' module.
I also lead the `Stat-XP: Statistical approaches to characterize the exposome: Overview and Perspectives' MRC-PHE/Exposomics Short Course, whose first edition should be held in December 2014.
I have co-supervised 4 PhD students: Dr Rachel Kelly (currently post-doc at Harvard School of Medicine), Dr Karin Van Veldhoven (currently post-doc at University College London), and Dr Gianluca Campanella (research Fellow at ICL), Miss Javiera Garrido-Manriquez..
Publically available code:
et al., 2015, Dynamics of smoking-induced genome-wide methylation changes with time since smoking cessation, Human Molecular Genetics, Vol:24, ISSN:0964-6906, Pages:2349-2359
et al., 2014, Investigating sources of variability in metabolomic data in the EPIC study: the Principal Component Partial R-square (PC-PR2) method, Metabolomics, Vol:10, ISSN:1573-3882, Pages:1074-1083
et al., 2015, Epigenetic signatures of internal migration in Italy, International Journal of Epidemiology, Vol:44, ISSN:0300-5771, Pages:1442-1449
et al., 2014, Prediagnostic transcriptomic markers of Chronic lymphocytic leukemia reveal perturbations 10 years before diagnosis, Annals of Oncology, Vol:25, ISSN:0923-7534, Pages:1065-1072
et al., 2014, Dynamics of the Risk of Smoking-Induced Lung Cancer A Compartmental Hidden Markov Model for Longitudinal Analysis, Epidemiology, Vol:25, ISSN:1044-3983, Pages:28-34
et al., 2013, GUESS-ing Polygenic Associations with Multiple Phenotypes Using a GPU-Based Evolutionary Stochastic Search Algorithm, Plos Genetics, Vol:9, ISSN:1553-7404
et al., 2013, Deciphering the complex: Methodological overview of statistical models to derive OMICS-based biomarkers, Environmental and Molecular Mutagenesis, Vol:54, ISSN:0893-6692, Pages:542-557
Vermeulen R, Chadeau-Hyam M, 2012, Dynamic Aspects of Exposure History-Do They Matter?, Epidemiology, Vol:23, ISSN:1044-3983, Pages:900-901
et al., 2012, Causal diagrams in systems epidemiology., Emerg Themes Epidemiol, Vol:9
Jasra A, De Iorio M, Chadeau-Hyam M, 2011, The time machine: a simulation approach for stochastic trees, Proceedings of the Royal Society A: Mathematical, Physical & Engineering Sciences, Vol:467, ISSN:1364-5021, Pages:2350-2368
et al., 2011, ESS++: a C++ objected-oriented algorithm for Bayesian stochastic search model exploration, Bioinformatics, Vol:27, ISSN:1367-4803, Pages:587-588
et al., 2010, An application of hidden Markov models to the French variant Creutzfeldt-Jakob disease epidemic, Journal of the Royal Statistical Society Series C - Applied Statistics, Vol:59, ISSN:0035-9254, Pages:839-853
et al., 2010, Metabolic Profiling and the Metabolome-Wide Association Study: Significance Level For Biomarker Identification, Journal of Proteome Research, Vol:9, ISSN:1535-3893, Pages:4620-4627
et al., 2008, Fregene: Simulation of realistic sequence-level data in populations and ascertained samples, BMC Bioinformatics, Vol:9, ISSN:1471-2105
et al., 2007, Sequence-level population simulations over large genomic regions, Genetics, Vol:177, ISSN:0016-6731, Pages:1725-1731
et al., 2003, Estimation of the exposure of the French population to the BSE agent: comparison of the 1980-95 consumption of beef products containing mechanically recovered meat in France and the UK, by birth cohort and gender, Statistical Methods in Medical Research, Vol:12, ISSN:0962-2802, Pages:247-260
Chadeau-Hyam M, Alperovitch A, 2005, Risk of variant Creutzfeldt-Jakob disease in France, International Journal of Epidemiology, Vol:34, ISSN:0300-5771, Pages:46-52