Pedro Carmona Sáez

Profile

His scientific career focuses on the development of statistical and computational methodologies for the analysis of genomic and biomedical data, as well as on their application to complex diseases, molecular diagnosis, and precision medicine.

He holds a PhD from the Universidad Autónoma de Madrid. Throughout his career he has worked in both academic and industry environments, including CNIO, CNB-CSIC, Integromics or UCM. He has been invited researcher in Broad Institute, NRC Canada and Aachen University before joining the UGR and GENyO to establishing in Granada his own research line in bioinformatics and health data science.

His work combines methodological research in statistics, machine learning and bioinformatics with translational applications in genomics, immunology, oncology, and complex diseases. A substantial part of his recent activity is devoted to transcriptomics, integrative multi-omics analysis, biomarker discovery, and reproducible computational pipelines for biomedical research.

He leads a multidisciplinary group of researchers working on projects at the intersection of data science and biomedicine, with particular attention to clinically relevant problems and the development of robust analytical frameworks that can be transferred to collaborative research environments.