I am a senior lecturer in Biostatistics in the Department of Epidemiology and Biostatistics and I am part of the MRC-PHE Centre for Environment and Health (http://www.environment-health.ac.uk/)
After working on gene expression for two years as a postdoc I moved to epidemiology and collaborated on several projects studying the impact of environmental exposures on chronic diseases.
In 2010 I became lecturer and in 2015 I was promoted to senior lecturer. My main interests are related on the methodological aspects of environmental exposure estimation and on spatial and spatio-temporal models for disease mapping and for risk assessment.
I am PI on an MRC Methodology project looking at data integration from cohorts/administrative registries and exploring how propensity score can be used to adjust for unmeasured confounders in ecological studies.
I have a special interest in novel computational methods for Bayesian inference and I have recently written a book on the Integrated Nested Laplace approximation (INLA) for spatial and spatio-temporal applications.
• High School Diploma: Liceo Classico "P. D'Anghiera", Arona (Novara, Italy), 1997.
• Summa cum Laude MSc in Statistics, Demography and Social Sciences, University of Milan Bicocca (Italy), 2001. Thesis in Epidemiology, titled "Parametric and semi-parametric approaches in meta-analysis of observational studies".
• PhD student in Applied Statistics, University of Florence (Italy), January 2002 - December 2004. Thesis titled "Statistical models for estimating gene expression variability".
• 2005- January 2010 Research Associate in Biostatistics and Genomics, Imperial College, Department of Epidemiology and Biostatistics, School of Public Health, London, UK.
•February 2010-2015 Lecurer in Biostatistics, Imperial College, Department of Epidemiology and Biostatistics, School of Public Health, London, UK.
•October 2015-now Senior Lecurer in Biostatistics, Imperial College, Department of Epidemiology and Biostatistics, School of Public Health, London, UK.
et al., 2017, A space–time multivariate Bayesian model to analyse road traffic accidents by severity, Journal of the Royal Statistical Society. Series A: Statistics in Society, Vol:180, ISSN:0964-1998, Pages:119-139
et al., 2017, Ambient air pollution, traffic noise and adult asthma prevalence: a BioSHaRE approach., Eur Respir J, Vol:49
et al., 2017, Air pollution and cardiovascular mortality with over 25years follow-up: A combined analysis of two British cohorts., Environ Int, Vol:99, Pages:275-281
et al., 2017, Associations of night-time road traffic noise with carotid intima-media thickness and blood pressure: The Whitehall II and SABRE study cohorts, Environment International, Vol:98, ISSN:0160-4120, Pages:54-61
Blangiardo M, Finazzi F, Cameletti M, 2016, Two-stage Bayesian model to evaluate the effect of air pollution on chronic respiratory diseases using drug prescriptions., Spat Spatiotemporal Epidemiol, Vol:18, Pages:1-12