Chiara joined the Covid Crisis Lab and Dondena research centre as a full time postdoctoral scientist after completing her PhD at the University of Cambridge and a one-year project at Public Health England. Her research interests focus on statistical models to make inference from longitudinal observational health data, mostly collected through surveillance systems. As a PhD student, she spent 4 years at the MRC Biostatistics Unit, investigating time-series methods to quantify the burden of bacterial respiratory infections secondary to influenza, in seasonal and pandemic settings, from surveillance data. At Public Health England, she worked jointly with the Statistics unit and the HIV department, using counterfactual methods to quantify the impact of interventions: she estimated the excess mortality due to COVID-19 and the effectiveness of HIV prophylaxis within the PrEP Impact trial. Prior to starting her PhD, Chiara completed a degree in Statistics and a Master's degree in Biostatistics at the University of Milano-Bicocca, and did her Master’s thesis at the Karolinska Institute.