RESEARCH
Dr. Gómez-Cabrero’s research has long focused on developing systems-based methodologies to understand biological processes and their translational applications in health and disease. He specializes in the integration of multi-omics data—including both bulk and single-cell datasets—to investigate complex diseases such as Multiple Sclerosis, Rheumatoid Arthritis, rare diseases, and Multiple Myeloma.
He is the lead developer of several widely used bioinformatics R packages, including:
• STATegRa (Bioconductor): for multi-omics data integration,
• ClustAll (Bioconductor): for patient stratification, and
• GeneSetCluster: for integrative Multi-GSEA analysis.
With over 100 peer-reviewed publications, his work spans a wide range of topics including DNA methylation, gene expression analysis, and the human microbiome.
His current research has two main aims:
1. Methodological Development: creating novel tools for integrating multi-omic, single-cell, bulk, and spatial transcriptomic data. The ultimate goal is to build computational models of biological systems.
2. Biomedical Applications: applying systems and computational biology to unravel the mechanistic underpinnings of health and disease within the bone marrow niche, which also serves as a model system to advance the One Health approach. These efforts involve deep learning, mathematical modeling, and the use of cutting-edge omics technologies.

BIOGRAPHY
Dr. Gómez-Cabrero earned a Ph.D. in Mathematics from the University of Valencia in 2009, following a Master’s in Statistics (2004) and a Master’s in Operations Research (2003) from the same institution. He holds a BSc/MSc in Mathematics (2000).
He transitioned to biomedicine during his Ph.D., where exposure to bioinspired algorithms led to a growing interest in neuroscience and genetics. To support this shift, he completed the first two years of medical school and began working with Dr. Alberto Compte in computational neuroscience, focusing on mechanistic models in short-term visual memory and atherosclerosis. This work culminated in a systems biology framework for generating robust hypotheses under uncertainty in mechanistic models.

Postdoctoral and Independent Research Career
In 2010, Dr. Gómez-Cabrero joined Karolinska Institute as a postdoctoral researcher. By 2011, he had become a project leader, and from 2014 to 2018, served as Assistant Professor. During this period, he led work packages in four major EU FP7/H2020 projects: Synergy-COPD, STATegra, Frailomic, and MultipleMS, and contributed to INCURE and CASyM.
Between 2010 and 2016, he was actively involved in numerous clinical collaborations focused on Rheumatoid Arthritis, Multiple Sclerosis, and COPD, often leading the bioinformatics components and supervising Ph.D. students and postdocs.
His key contributions during this time include:
• The development and refinement of bioinformatic tools for DNA methylation and multi-omic integration,
• Statistical methods for underpowered studies, and
• Systems medicine frameworks tailored to clinical data.

Leadership at Navarrabiomed (2017–2024)
As head of the Translational Bioinformatics Unit (TransBio) at Navarrabiomed in Pamplona, Dr. Gómez-Cabrero spearheaded efforts to integrate genetics into clinical practice, with leadership roles in projects like NAGEN, IMPACT, and VUSCAN. He also served as co-PI in two EU H2020 projects (DECISION, X-PAND) and received several national grants (e.g., la Caixa, MINECO).

Current Role at KAUST
Since 2021, Dr. Gómez-Cabrero has been Associate Professor of Bioscience at KAUST, where he continues to develop computational models of biological systems and investigate – as a case study – the bone marrow niche using a multi-omics approach.