I am a professor of Biostatistics in the Department of Epidemiology and Biostatistics and I lead the Biostatistics and Informatics theme 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-June 2018 Senior Lecurer in Biostatistics, Imperial College, Department of Epidemiology and Biostatistics, School of Public Health, London, UK.
•From March 2017 Academic honorary contract at Public Health England, UK.
•From July 2018 Chair in Biostatistics, Imperial College, Department of Epidemiology and Biostatistics, School of Public Health, London, UK.
et al., 2019, Bayesian spatial modelling for quasi-experimental designs: An interrupted time series study of the opening of Municipal Waste Incinerators in relation to infant mortality and sex ratio., Environ Int, Vol:128, Pages:109-115
Cameletti M, Gómez-Rubio V, Blangiardo M, 2019, Bayesian modelling for spatially misaligned health and air pollution data through the INLA-SPDE approach, Spatial Statistics, Vol:31, ISSN:2211-6753
et al., Seroprevalence for dengue virus in a hyperendemic area and associated socioeconomic and demographic factors using a cross-sectional design and a geostatistical approach, state of São Paulo, Brazil., Bmc Infectious Diseases, ISSN:1471-2334
et al., Applying the N-mixture model approach to estimate mosquito population abundance from monitoring data., Journal of Applied Ecology, ISSN:0021-8901
et al., 2019, A hierarchical modelling approach to assess multi pollutant effects in time-series studies, Plos One, Vol:14, ISSN:1932-6203