Summary
Miguel Vazquez is a 17-year bioinformatics and AI platform leader who heads the Genome Informatics Unit at the Barcelona Supercomputing Center, building reproducible, provenance-aware pipelines and agentic AI stacks that bridge HPC and cloud. He created Rbbt, a full‑stack framework for workflows, data integration, web apps and tool‑calling agents, and has delivered consortium‑grade pipelines for ICGC/PCAWG/ARGO used in large WGS/WES cohorts. His work spans omics at scale, variant interpretation with structural and systems context, literature mining with transformer IE, and immuno‑oncology pipelines for neo‑epitope prioritization. Miguel combines hands‑on engineering (Nextflow/Snakemake/CWL/WDL, containers, AWS, HF/PyTorch) with small, high‑leverage team leadership and cross‑site consortium delivery. Notably, he built serverless lab platforms that cut ops costs by ~100× and expanded transcription‑factor coverage via literature mining by ~4×. Currently based in Barcelona with short‑term presence in Basel, he is open to remote/hybrid roles across EMEA.
17 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science and Bioinformatics, Doctor of Philosophy (PhD), Computer Science and Bioinformatics at Universidad Complutense de Madrid
Management Fundamentals for Scientists and Researchers, Business Administration and Management, General, Management Fundamentals for Scientists and Researchers, Business Administration and Management, General at IE Business School
English, Spanish