Summary
David Gómez-peregrina is a translational oncology computational biologist with nine years' experience building end-to-end, production-ready multi-omics pipelines that power biomarker discovery and patient stratification. With a PhD in Bioinformatics and postdoctoral work at VHIO, he specializes in chromosomal instability and copy-number evolution in sarcomas and GIST, linking genomic trajectories to clinical progression and therapy response. He combines computational rigor—WES/WGS, RNA-seq, CNA/LOH and single-cell integration, reproducible HPC/cloud workflows—with hands-on wet-lab validation, assay optimization, and quantitative imaging. His work includes ctDNA-driven resistance mapping in TKI-treated disease and practical tooling for CNA reliability and CNV interpretation deployed in clinical-grade systems. Comfortable coordinating cross-disciplinary teams, he turns complex tumor-evolution signals into clinically actionable hypotheses and scalable software for diagnostics and precision oncology.
9 years of coding experience
8 years of employment as a software developer
PhD Bioinformatics, PhD Bioinformatics at Universitat Autònoma de Barcelona
M.Sc. Bioinformatics, M.Sc. Bioinformatics at University of Valencia
Graduate Biomedical Sciences, Graduate Biomedical Sciences at Universitat de Lleida