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mrueda - computational biology, high-performance computing, and open-source scientific software

Manuel Rueda 👋

I am a computational biologist based in Barcelona. I build open-source scientific software for biomedical data interoperability, reproducible genomics, and AI-assisted research.

I lead the CNAG Biomedical Informatics subteam, where we develop open-source infrastructure for biomedical data and reproducible analysis. I also develop independent software for healthcare, education, and human-computer interaction.

🧬 Research software at CNAG

My research spans structural computational biology, genomics, and biomedical informatics. Selected collaborative projects include:

  • 🧩 Convert-Pheno (Biomedical data) - A toolkit for converting phenotypic data between standard data models.
  • 🧬 CBIcall (Genomics) - A configuration-driven framework for reproducible variant calling in large sequencing cohorts.

Further collaborative projects are available through CNAG Biomedical Informatics.

🚀 Independent open-source projects

Area Project Description
🧬 Research Digital Genome Workstation (DGW) Interactive and non-destructive editing of genome variants.
🎛️ AI interfaces Pad-Lattice Physical and virtual interfaces for monitoring and controlling AI agents.
💊 Healthcare & pharmacy RecallRx Country-aware medicine recall search using official regulatory sources.
💊 Healthcare & pharmacy Nomenclator Delta Search and compare monthly changes in Spain's official pharmaceutical Nomenclátor.
💊 Healthcare & pharmacy DataMatrix2Codes Decode and process GS1 DataMatrix barcodes used on pharmaceutical packaging.
📚 Education Shelf-School A self-hosted library management system for small schools.
📚 Education Montessori Virtual Room Explore Montessori materials and activities in an interactive virtual classroom.

🧪 Experiments

  • 🎵 Music Key Detector (Audio analysis) - A compact experiment for estimating likely major or minor keys, with confidence and ambiguity reporting.

💾 Background

I began programming in BASIC on an MSX and have continued building software throughout my scientific career. My background as a musician informed Pad-Lattice's use of MIDI grid controllers as interfaces for AI agents.

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