The main research focus of our group involves an Integrative Systems Medicine approach, with a particular emphasis on understanding the role of the gut microbiome in ageing, cognitive performance, and metabolic and mental health. To achieve our objectives, we undertake highly multidisciplinary research that combines cutting-edge post-genomic technologies—including shotgun metagenomics, NMR and HPLC-MS/MS metabolomics and lipidomics, and RNA sequencing, among others—with advanced computational bioinformatic techniques such as machine learning, chemometrics, and multivariate statistics.

The group has extensive experience in bioinformatic analysis of single-omics datasets and integrating omics data. Our research is conducted on large human cohorts and validate our findings using pre-clinical models such as mice and Drosophila melanogaster.

Our ultimate goal is to mine and integrate high-throughput omics and clinical data to obtain a holistic understanding of the complex host-microbiome interactions and the multifactorial, heterogeneous nature of non-communicable diseases. Through this work, we seek to elucidate the molecular mechanisms underlying health and disease. We strive to identify new biomarkers or signatures that can serve as the foundation for developing efficient personalized, tailor-made therapies, as well as diagnostic, prognostic, and monitoring tools for clinical translation.