David Gomez-Cabrero

Associate Professor, Bioscience

Biological and Environmental Science and Engineering Division


Education Profile

  • ​Postdoctoral Fellow, Karolinska Institutet, 2009-2014.
  • Ph.D. Mathematics, Universitat de València, 2005-2009.
  • Advances Ph.D. Courses in Operations Research and Statistics, Universitat de València, 2000-2003.
  • MSc Statistics, 2000-2004.
  • MSc and BSc Mathematics, 1996-2000.

Research Interests

​Professor Gomez-Cabrero is a bioinformatician and computational biologist. His research focuses on the development of system-based methodologies for understanding biological systems and its translational applications for understanding health and disease. 

Upon completing his Ph.D., he moved to Stockholm as postdoctoral research. Next, he was appointed Assistant Professor at Karolinska Institutet between 2014 and 2018. Next, he was appointed as Senior Lecturer at King's College London (2016-2018). During 2017 he became the head of the Translational Bioinformatics Unit at Navarrabiomed (Pamplona, Spain).

His current goals are the developing of robust statistically-based methodologies and frameworks to uncover robust hypothesis in (possibly under-powered) research studies. Tools for multi-omic integration are being implemented and shared in the Bioconductor STATegRa package. Nowadays, the aim is to develop strategies for current integrative challenges such as "integrating bulk and single-cell data" and "integrating multi-omic single-cell data".

Most of Professor Gomez-Cabrero's research is conducted in a translational context, especially working in Multiple Sclerosis, Rheumatoid Arthritis, rare diseases and Myelodysplastic syndromes, among others.

Selected Publications

  • ​Carr VR, Witherden E, Lee S, Shoaie S, Mullany P, Proctor GB, et al. Abundance and diversity of resistomes differ between healthy human oral cavities and gut. Nature Communications; 2020; 11:693. link
  • Gomez-Cabrero D, Tarazona S, Ferreirós-Vidal I, Ramirez RN, Company C, Schmidt A, et al. STATegra: a comprehensive multi-omics dataset of B-cell differentiation in mouse. Scientific Data; 2019, to appear; 587477. doi:10.1101/587477
  • International Multiple Sclerosis Genetics Consortium, Multiple sclerosis genomic map implicates peripheral immune cells and microglia in susceptibility, Science, 2019, 365:6460.
  • Ferreirós-Vidal I, Carroll T, Zhang T, Lagani V, Ramirez RN, Ing-Simmons E et al. Feedforward regulation of Myc coordinates lineage-specific with housekeeping gene expression during B cell progenitor cell differentiation. PLOS Biol. 2019;17.
  • Ewing E, Kular L, Fernandes SJ, Karathanasis N, Lagani V, Ruhrmann S, et al. Combining evidence from four immune cell types identifies DNA methylation patterns that i