Mathematical Modelling of Infectious Diseases

Head of Laboratory: Simon Cauchemez


The Mathematical Modelling of Infectious Diseases Unit at Institut Pasteur which is directed by Simon Cauchemez was created on November 1st 2013.


The research focus of the Unit is to develop state-of-the-art mathematical and statistical methods to tackle the many challenges epidemiologists and microbiologists face when analysing infectious disease data.


Our primary focus is the study of epidemics and outbreaks (for example, the emergence of chikungunya in the Caribbean, of MERS-CoV in the Middle East or of Ebola in Guinea). We aim to better understand how pathogens spread in human populations with a view to support policy making and optimize control strategies. These analyses benefit from a strong network of collaborators in the field (in particular within the large International Network of Pasteur Institutes) but also of strong connections with other excellence Centers in the field of mathematical modelling.


Our secondary objective is to develop mathematical models that can be used to better characterize the infection process from experimental data. There is indeed a unique set of expertise and competences in microbiology at Institut Pasteur and we aim to develop innovative statistical and mathematical techniques to get more insights from the complex experimental data they generate.


Our approach is therefore highly multidisciplinary, looking at infectious diseases through multiple perspectives (epidemiology, surveillance, Public Health, policy making, microbiology), multiple scales and multiple data streams.


Mathematical Modelling of Infectious Diseases Unit

Institut Pasteur

28 Rue du Dr Roux

75724 Paris Cedex 15


Simon Cauchemez



23 January 2015: Paper in Lancet ID describing the chains of transmission of Ebola in Conakry, Guinea.


15 October 2014: Henrik Salje from Johns Hopkins University joins the group as a visiting researcher for a year.


25 September 2014: Paper in American Journal of Epidemiology looking at how to improve the precision of case fatality ratio estimates during pandemics


16 September 2014: NIH MIDAS funding for 1 postdoc for 5 years, in a collaboration with Imperial College.


4 September 2014: Review of the transmission potential of flu, with US CDC


22 August 2014: Paper in PLoS Pathogens with new methods to study the determinants of flu transmission




All the news


One postdoctoral position in mathematical/statistical modelling of infectious diseases is available.


Postdoc positions are currently available. Please send a CV and motivation letter to Simon Cauchemez if you are interested.


We are also recruiting Master students.