DATA SCIENCE FOR HEALTH

We develop predictive models on complex spatio-temporal patterns, integrating the different molecular biology levels, spatially explicit population models and landscape environmental analysis. We aim to create novel mathematical methods and ICT platforms connecting physiopathological patterns of disease with high dimensional data now available for Functional Genomics (e.g DNA microarrays, SNPs, proteomics, Deep Sequencing), with spatially epidemics simulation systems and geodatabases of environmental factors and socio-demographic data.