Summary
Mathilde Perez is a seasoned bioinformatician with 11 years’ experience specializing in computational immunology, currently leading research bioinformatics at CHUV in Lausanne. She designs, implements and analyzes complex pipelines for RepSeq and single-cell transcriptomics, pairing deep domain knowledge with strong programming skills in R, Python, Java and bash. Her work spans practical NGS tooling (from FastQC and BWA to cellranger and Immcantation) and repertoire-focused methods (MiXCR, GLIPH2), and she applies machine learning for antibody specificity prediction. Comfortable translating biologists’ needs into reproducible Snakemake workflows, she bridges wet-lab and computational teams to deliver actionable insights from patient cohorts. Notably, her background includes long-read IGH locus analysis and software development across Java/Perl dating back to EMBL, reflecting both methodological breadth and a long-standing commitment to tool-building.
11 years of coding experience
13 years of employment as a software developer
Master of Science (MSc), Bioinformatics, Master of Science (MSc), Bioinformatics at Université Paul Sabatier (Toulouse III)
English, French, Italian, Spanish