Research Professor of the research axis "Data and Artificial Intelligence", Head of the Master Program in "Bio-Informatics" and Head of the Biology Department at EFREI Research Lab. We aim to improve human health, through the development of artificial intelligence methods, focusing on translating multi-omic discoveries into precision diagnostics. Our mission is to use the data we get from genomics, radiomics, pathomics and its impact on pathological conditions using computational multi-omics approaches. Such methods rely on the statistical analysis and integration of big data (high-throughput sequencing, microarrays, proteomics, high-throughput screening), medical imaging and clinical/phenotypic data. We look at both clinical data as well as data generated outside of hospitals and aim to support both medical providers and patients in their decision making by identifying biomarkers. Genomics and transcriptomics Insights into Chronic lymphocytic leukemia (CLL) using transcriptomics and exome data analysis GBCM : Chikgene project : Genotyping of patients from La Réunion island by low coverage sequencing and imputation for search of new variants associated with long-term Chikungunya manifestations EBI: Identification of potential targets and study of receptor-inhibitor interaction for the treatment of cutaneous melanoma. Guinea: A Molecular and Bioinformatics Approach to Antimicrobial Resistance Surveillance in a One Health Context.