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)
I have or still am (co-)supervised 6 PhD students.
Publically available code:
et al., 2023, Dynamics and scale of the SARS-CoV-2 variant Omicron epidemic in England, Nature Communications, Vol:13, ISSN:2041-1723
et al., 2023, Automated calibration for stability selection in penalised regression and graphical models, Journal of the Royal Statistical Society Series C - Applied Statistics, ISSN:0035-9254
et al., 2022, Omicron SARS-CoV-2 epidemic in England during February 2022: A series of cross-sectional community surveys, The Lancet Regional Health Europe, Vol:21, ISSN:2666-7762, Pages:1-11
et al., 2022, State-of-the-art methods for exposure-health studies: results from the exposome data challenge event, Environment International, Vol:168, ISSN:0160-4120
et al., 2022, Dynamics of a national Omicron SARS-CoV-2 epidemic during January 2022 in England, Nature Communications, Vol:13, ISSN:2041-1723
et al., 2022, Dynamics of competing SARS-CoV-2 variants during the Omicron epidemic in England, Nature Communications, Vol:13, ISSN:2041-1723
et al., 2022, Twin peaks: The Omicron SARS-CoV-2 BA.1 and BA.2 epidemics in England., Science, Vol:376
et al., 2022, Breakthrough SARS-CoV-2 infections in double and triple vaccinated adults and single dose vaccine effectiveness among children in Autumn 2021 in England: REACT-1 study, Eclinicalmedicine, Vol:48, ISSN:2589-5370, Pages:1-14
et al., 2022, Epigenetic mechanisms of lung carcinogenesis involve differentially methylated CpG sites beyond those associated with smoking, European Journal of Epidemiology, Vol:37, ISSN:0393-2990, Pages:629-640
et al., 2022, Health impact of seven herpesviruses on (pre)diabetes incidence and HbA1c – results from the KORA cohort, Diabetologia, Vol:65, ISSN:0012-186X, Pages:1328-1338
et al., 2022, Persistent COVID-19 symptoms in a community study of 606,434 people in England, Nature Communications, Vol:13, ISSN:2041-1723
et al., 2022, SARS-CoV-2 infection and vaccine effectiveness in England (REACT-1): a series of cross-sectional random community surveys, The Lancet Respiratory Medicine, Vol:10, ISSN:2213-2600, Pages:355-366
et al., 2022, Rapid increase in Omicron infections in England during December 2021: REACT-1 study., Science, Vol:375, ISSN:0036-8075, Pages:eabn8347-eabn8347
et al., 2021, Predictive symptoms for COVID-19 in the community: REACT-1 study of over one million people, PLOS Medicine, Vol:18, ISSN:1549-1277, Pages:1-14
et al., 2021, Developing the building blocks to elucidate the impact of the urban exposome on cardiometabolic-pulmonary disease: The EU EXPANSE project, Environmental Epidemiology, Vol:5, ISSN:2474-7882
et al., 2021, COVID-19 mortality in the UK Biobank cohort: revisiting and evaluating risk factors, European Journal of Epidemiology, Vol:36, ISSN:0393-2990, Pages:299-309
et al., 2020, Education, biological ageing, all-cause and cause-specific mortality and morbidity: UK Biobank Cohort Study, Eclinicalmedicine, Vol:29-30, ISSN:2589-5370
et al., 2020, Prenatal exposure to multiple air pollutants, mediating molecular mechanisms, and shifts in birthweight., Environmental Science & Technology, Vol:54, ISSN:0013-936X, Pages:14502-14513
et al., 2020, Risk factors for positive and negative COVID-19 tests: a cautious and in-depth analysis of UK Biobank data, International Journal of Epidemiology, Vol:49, ISSN:0300-5771, Pages:1454-1467
et al., 2020, The contribution of sleep to social inequalities in cardiovascular disorders: a multi-cohort study, Cardiovascular Research, Vol:116, ISSN:0008-6363, Pages:1514-1524
et al., 2020, Agnostic Cys34-albumin adductomics and DNA methylation: implication of Nacetylcysteine in lung carcinogenesis years before diagnosis, International Journal of Cancer, Vol:146, ISSN:0020-7136, Pages:3294-3303
et al., 2020, Predictive accuracy of a polygenic risk score-enhanced prediction model vs a clinical risk score for coronary artery disease, JAMA - Journal of the American Medical Association, Vol:323, ISSN:0098-7484, Pages:636-645
et al., 2020, Anthropometric and reproductive factors and risk of esophageal and gastric cancer by subtype and subsite: results from the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort, International Journal of Cancer, Vol:146, ISSN:0020-7136, Pages:929-942
et al., 2019, The use of Human Papillomavirus DNA Methylation in cervical intraepithelial neoplasia: a systematic review and meta-analysis, Ebiomedicine, Vol:50, ISSN:2352-3964, Pages:246-259
et al., 2019, Serum metabolic signatures of coronary and carotid atherosclerosis and subsequent cardiovascular disease, European Heart Journal, Vol:40, ISSN:1522-9645, Pages:2883-2896
et al., 2019, Socioeconomic position during pregnancy and DNA methylation signatures at three stages across the early life: epigenome-wide association studies in the ALSPAC birth cohort, International Journal of Epidemiology, Vol:48, ISSN:1464-3685
et al., 2019, The exposome: molecules to populations, Annual Review of Pharmacology and Toxicology, Vol:59, ISSN:0362-1642, Pages:6.1-6.21
et al., 2018, Epigenome-wide association study of adiposity and future risk of obesity-related diseases, International Journal of Obesity, Vol:42, ISSN:0307-0565, Pages:2022-2035
et al., 2018, DNA methylation and associated gene expression in blood prior to lung cancer diagnosis in the Norwegian Women and Cancer cohort, Scientific Reports, Vol:8, ISSN:2045-2322
et al., 2018, Pre-diagnostic blood immune markers, incidence and progression of B-cell lymphoma and multiple myeloma; univariate and functionally-informed multivariate analyses, International Journal of Cancer, Vol:143, ISSN:0020-7136, Pages:1335-1347
et al., 2018, A multivariate approach to investigate the combined biological effects of multiple exposures, Journal of Epidemiology and Community Health, Vol:72, ISSN:0143-005X, Pages:564-571
et al., 2018, DNA Methylome Marks of Exposure to Particulate Matter at Three Time Points in Early Life, Environmental Science & Technology, Vol:52, ISSN:0013-936X, Pages:5427-5437
et al., 2015, Epigenetic signatures of internal migration in Italy, International Journal of Epidemiology, Vol:44, ISSN:0300-5771, Pages:1442-1449
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., 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., 2013, Dynamics of the Risk of Smoking-Induced Lung Cancer: A Compartmental Hidden Markov Model for Longitudinal Analysis, Epidemiology, Vol:n/a, ISSN:1044-3983
et al., 2013, GUESS-ing polygenic associations with multiple phenotypes using a GPU-based evolutionary stochastic search algorithm, PLOS Genetics, Vol:9, ISSN:1553-7390
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, Emerging Themes in Epidemiology, Vol:9, ISSN:1742-7622
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, 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., 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., 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
Chadeau-Hyam M, Alperovitch A, 2005, Risk of variant Creutzfeldt-Jakob disease in France., International Journal of Epidemiology
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
et al., 2019, A socially patterned Biological Health Score and mortality in Understanding Society and UKBiobank, OXFORD UNIV PRESS, Pages:89-89, ISSN:1101-1262