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Personal profile

Research Overview

Professor Gomez-Cabrero's research focuses on the development of system-based methodologies for understanding biological systems and its translational applications for understanding health and disease, in particular Multiple Sclerosis, Rheumatoid Arthritis, rare diseases and Myelodysplastic syndromes, among others. 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".

Key Research Areas

Computational Bioscience, Epigenetics, Functional Biology, Genomics, Machine Learning

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 15 - Life on Land


Mathematics, Ph.D., University of Valencia


Statistics, M.S., University of Valencia


Operations Research, M.S., University of Valencia



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Collaborations and top research areas from the last five years

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