My reading/research interests broadly include:

• Spatial epidemiology and Causal inference applied to research questions related to Infectious diseases (especially targeting humans)

• Relationship between climate change and public health (especially spatial variation in disease risk or zoonose emergence) and One Health approaches

• Statistical methodology in a meta-research perspective (eg what are things known to be false by statisticians but commonly used and taught by researchers such as dichotomising continuous variables, using NA as categories in regression, post-model-selection inference, misunderstanding of P-values or CI, table 2 fallacy, see here for more)

• Evidence synthesis methodology (eg systematic review and meta-analysis methodology)

My Ph.D. project aims to infer the seroprevalence in France of 5 human herpesviruses (HSV1, HSV2, EBV, ZVZ, and CMV) and their possible interactions between each other and with other viruses such as HIV and HCV.

The studies conducted within this project rely on serological data provided by Cerba, a French laboratory, and various Hospitals.

This work received financial support from ANRS|MIE.

All the codes related to my PhD thesis can be found on the dedicated GitHub repository.