Cécile Tran Kiem


I joined the lab as a postdoc in October 2022. I am interested in developing modelling approaches to better understand the propagation of pathogens in populations by combining more traditional epidemiological data with viral sequence information.

I obtained my PhD in the Mathematical Modelling of Infectious Diseases unit at Institut Pasteur (Paris France), under the supervision of Simon Cauchemez. During these three years, I developed mathematical and statistical models to characterize the spread and control of SARS-CoV-2 in France. At the end of the first wave, we were able to estimate the burden of the epidemic in France. Later on, I developed a modelling framework to estimate the contribution of different age groups to transmission, from which I was able to derive the impact of age-targeted control measures. We also characterized the epidemiology of SARS-CoV-2 in a partially vaccinated population. Finally, I conducted a range of analyses assessing the impact of interventions, such as lockdowns, curfews or vaccination (e.g. vaccine prioritization strategies, risks and benefits associated with the distribution of Vaxzevria or booster distribution strategies). The results of theses analyses were shared with French decision makers and public health agencies along the course of the pandemic.

I also hold an engineering degree from Ecole Polytechnique (France) and an MSc in Health Data Analytics and Machine Learning from Imperial College London (UK).