Bioinformatics Developer · Genomic Epidemiologist · Independent Scientist
I build computational tools that turn raw sequencing data into actionable intelligence — at the intersection of genomics, food safety, and molecular epidemiology. No institution. No funding. Just code and domain obsession.
I design and develop end-to-end bioinformatics platforms for WGS-based surveillance, pathogen risk scoring, and high-resolution molecular typing. My work sits where most pipelines stop: not just calling variants, but making them mean something in epidemiological context.
Core technical domain:
cgMLST/wgMLST typing systems · phylogenomic clustering (pHierCC/HC) · pan-genome analysis · k-mer analytics · in-silico PCR design · outbreak detection algorithms · multi-method consensus validation
🧬 HelixCore — A modular bioinformatics platform with 8 specialized tools:
| Module | Function |
|---|---|
| BioMiner | Multi-method genomic analysis & consensus validation |
| HoloGen | Holistic genome visualization |
| OmniOTA | Real-time surveillance & alerting |
| SnapPrime | Primer design & in-silico PCR |
| Helion | Core genomic processing engine |
| DeLorean | Temporal/evolutionary analysis |
| FastKit | Rapid diagnostic panel builder |
| Diana | Target ranking & biomarker discovery |
🎯 GIF Framework — Genomic Index Framework for Listeria monocytogenes risk assessment. Integrates high-resolution cgMLST typing (HC10 clusters) with real-time epidemiological data (RASFF, BIGSdb) to produce quantified contamination risk scores. The C-Score component models epidemiological gravity: outbreak association, pathogen emergence/rarity, and transmissibility — not just phylogenetic distance.
Founded one of Spain's earliest genomic medicine ventures — a decade ahead of the market. That taught me that building the right thing at the wrong time still means building the right thing. Now I apply that same cross-disciplinary instinct (molecular biology × software engineering × data science) to problems where genomics meets public health at scale.
Most bioinformatics tooling treats UX as an afterthought. I don't. Complex, multidimensional data demands interfaces that collapse dimensions correctly — making invisible patterns obvious instead of burying them in tables. The activation energy for new analytical capabilities drops when the tool thinks like the scientist using it.
WGS · cgMLST · Python · Genomic Surveillance · Food Safety · Molecular Epidemiology · Pan-genomics · Risk Modeling
📍 Basque Country, Spain