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
Master's degree, Life Science Informatics, Master's degree, Life Science Informatics at The University of Bonn
Spanish, English, German, French