Summary
Camila González is a research engineer and bioinformatician based in Paris with a PhD from Sorbonne Université and eight years of experience turning complex biological datasets into robust, production-ready solutions. She specializes in k-mer algorithms, contamination removal for palaeometagenomics, scalable data pipelines, and ML-driven analysis, with a track record of shipping tools from PhD research through postdoctoral work to an institute-level engineering role at Institut Pasteur. Comfortable bridging wet-lab provenance and large-scale computational workflows, she combines cloud-native practices and workflow optimization with clear communication to non-technical stakeholders. Early career roles at the Max Planck institutes and interdisciplinary training across Colombia, Bonn and Paris give her a rare blend of hands-on molecular lab skills and advanced algorithmic expertise. She often applies bioinformatics methods to preserve historical microbiome signals, highlighting a practical commitment to reproducible, contamination-aware analysis.
8 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD Bioinformatics, Doctor of Philosophy - PhD Bioinformatics at Sorbonne Université
Bachelor of Engineering - BE Biological/Biosystems Engineering, Bachelor of Engineering - BE Biological/Biosystems Engineering at Universidad Nacional de Colombia
M.SC. LiFE SCiENCE INFORMATiCS, M.SC. LiFE SCiENCE INFORMATiCS at Bonn University
Master's degree Life Science Informatics, Master's degree Life Science Informatics at The University of Bonn
Spanish, English, German, French