Applied statistician with expertise on spatial epidemiology, R-INLA and research interests on public health, climate change and childhood health.
I work on developing a class of continuous domain models, namely the log-Gaussian Cox processes (LGCP) , to model adult lung and colorectal cancer incidence in the French speaking cantons in Switzerland. My current role also includes supervising PhD and MSc students on various projects including:
I did a 3-month internship at the CEMSE (Computer, Electrical and Mathematical Science and Engineering) division of the King Abdullah University of Science and Technology under the supervision of Prof Haavard Rue. There I worked with him on conducting a simulation study comparing the LGCPs with the Besag-York-Mollie (BYM) models for disease mapping and also gained expertise on R-INLA.
My thesis was entitled "Analysis of spatial clustering of childhood cancers" and it was the first systematic investigation of the spatial clustering of childhood cancers in Switzerland. The first part of my PhD was focused on global clustering and cluster detection, whereas the second part on disease mapping and spatial regression. During the second part of my PhD I gained expertise on models commonly used for disease mapping and/or spatial regression. For the PhD-related publications see below. In addition, during my PhD I was involved in a couple of other projects: