Jose is passionate about metagenomics and, in general, how culture-independent approaches are revolutionizing genomics and biology. This means a growing influence of quantitative modeling, extreme computing, and big data to complement evolving wet lab techniques in genomics.
Jose has developed novel statistical, mathematical and parallel computational methods for metagenomics. He used this strategy to analyze clinical and environmental longitudinal metagenomic datasets to unveil the dynamics of microbial communities efficiently and robustly. Jose is the developer of Re-centrifuge, a tool for contamination removal and comparative analysis for metagenomics, which has been successfully used in both environmental and clinical applications.
Jose has a diverse research background, as he has previous education and publications in different fields such as electronics, remote sensing, astrophysics, and cosmology. His work experience is not less varied, covering a broad spectrum from high performance computing engineer to Navy commissioned-officer.