Alejandro Navas González

Data science
for RWE. Bioinformatics &
scientific software.

Data scientist focused on real-world evidence (RWE). I develop reproducible analyses, R packages and Shiny applications for health research.

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Life · Data · Evidence

At Telomera, I develop statistical analysis and bioinformatics pipelines.

Selected work

Selected work

Andera, Shiny platform for microbiome metagenomic analysis

Shiny App

Andera

Microbiome metagenomic analysis in Shiny — diversity, ordination, networks and differential abundance on top of phyloseq.

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matchpointR, R package for Women's Tennis Association data

R Package

matchpointR

R package that turns WTA pages into ready-to-analyse data frames. Available on CRAN since April 2026.

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WorldFootballR Downloader, Shiny app for European football data

Shiny App

WorldFootballR Downloader

Shiny front-end for worldfootballR. Transfermarkt, FBref and Understat statistics with CSV/XLSX export.

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Right now

At Telomera I design reproducible pipelines for biomedical research. I’ve just released matchpointR on CRAN (v0.1.0, 28 April 2026) and I’m starting a Python project on financial time series. The blog is on hold until I have something of substance to say.

Get in touch

Got an idea, an interesting project, or just want to say hi?