
Bioinformatics Data Engineering: Genomics to Analytics
Build bioinformatics data pipelines with sample identity, reproducible genomics processing, governed analytics and careful ML evaluation from ingestion to release.
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Notes on LLM and RAG systems, MLOps, data engineering and the craft of shipping software that has to keep working.
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Build bioinformatics data pipelines with sample identity, reproducible genomics processing, governed analytics and careful ML evaluation from ingestion to release.
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Create a metrics layer that preserves business meaning across dashboards. Resolve grain, joins, time windows and ownership before teams compare incompatible numbers.
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If one of these posts is close to a problem you have, tell me about it - I’m happy to compare notes.