Francesc Català-Moll

Francesc Català-Moll

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Hi there —

I’m a bioinformatician specialising in microbiome research, epigenetics and multi-omics integration. I study how microbial communities interact with the immune system and influence infection, inflammation and health, translating complex biological signals into clear, interpretable insights.

I build reproducible analytical pipelines and scalable data workflows that support both academic teams and industry partners. My experience covers microbial genomics, resistome profiling, epigenomics and multi-omic integration, along with the development of R/Bioconductor tools such as dar and biocroxytest

I also apply machine learning and modern AI to reveal patterns that classical analyses overlook—from predictive modelling to biomarker discovery. My goal is to provide actionable, data-driven evidence that accelerates research, strengthens decision-making and drives innovation in infectious diseases, immunology and precision health.

Featured Projects

Research tools and applications in bioinformatics and data analysis

dar – Differential Abundance Analysis by Consensus

dar – Differential Abundance Analysis by Consensus

R/Bioconductor package for robust differential abundance testing using consensus-based integration of multiple DA methods in microbiome research.

R Bioconductor DA
CovidTag – Tracking SARS-CoV-2 variants in Spain

CovidTag – Tracking SARS-CoV-2 variants in Spain

Web application monitoring SARS-CoV-2 variant spread across Spain, aggregating GISAID genomic data with weekly updates for public health surveillance.

R Shiny GISAID PostgreSQL Docker AWS GitHub Actions
biocroxytest – Handle Long Tests in Bioconductor Packages

biocroxytest – Handle Long Tests in Bioconductor Packages

R/Bioconductor package for managing long-running tests through roxygen2 annotations, extracted into separate test files for independent CI execution.

R Bioconductor roxygen2

Selected Publications

Peer-reviewed research in epigenetics, microbiome, and immunology