BSc Mbiol MSc PhD
of Biostatistics and Epidemiology
15-17 Tavistock Place
I am a biostatistician and epidemiologist with interests in methodology, applied research in various epidemiological and public health topics, and software development. I graduated in in Biology at the University of Florence in 2003, then completed a MSc in Biostatistics at the University of Bologna in 2005 and a 3-years post-graduate School of Biometry and Medical Statistics at the University of Milan in 2009. I was awarded a PhD on Medical Statistics at LSHTM in September 2011. I worked as an epidemiologist and statistician at the Centre for Study and Prevention of Cancer (CSPO) in Florence, before joining LSHTM in 2007. Since then, I have been part of the Department of Medical Statistics and currently of the Department of Public Health Environments and Society.
I am the module organiser of Statistical Computing in the MSc in Medical Statistics, and Programming in the MSc of Health Data Science. In addition, I coordinate workshops on the R software for the Talent and Educational Development (LSHTM staff) and Transferrable Skills Programme (LSHTM research degree students). I am responsible for lecture and practical sessions on time series methods within the Environmental Epidemiology module of the MSc in Public Health, the Advanced Regression Methods module of the MSc in Medical Statistics, and the Evaluation of Public Helath Interventions within the MSc in Public Health. I am also a Lecture Speaker and Practical Group Leader in the Basic Statistics module of the MSc in Public Health.
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My interests encompass various research areas in epidemiology and public health evaluation, from methodology, applied research, and software implementation. My methodological work focuses on the development of study designs and statistical methods, applied in particular to time series methods, quasi-experimental studies, and survival analysis. I have contributed to the development and extensions of a number of statistical techniques, such as distributed lag models, smoothing methods and meta-analytical models. My substantive research covers several of areas, from investigations of the health effects of environmental or occupational factors to evaluation of public health interventions. I am a strong advocate of open science and reproducible research, and have contributed with the implementation of statistical methods in freely-available software and with release of code in public repositories.
My current research focuses on development of novel study designs for individual and small-area analyses, use of novel remote sensing and mobile technologies in epidemiology, spatio-temporal modelling of environmental exposures and risks, and health impact projections for climate change.
I am a founding member anc Chair of the Steering Committee of the Centre for Statistical Methodology, which promotes research and training on statistical methods within LSHTM, and the co-ordinator for two if its themes (time series and statistical computing). In particular, I am responsible for the activities of the Centre about the R software. I am in the management committee of the Centre on Climate Change & Planetary Health. I am a member of the Exam Board and of the Course Committee of the MSc in Medical Statistics and the MSc in Health Data Science. I am the coordinator of the Environmental & Health Group in the Department of Public Health Environments and Society. I founded and currently am coordinating the LSHTM R Users Group.