Summary
Camila Zanette is a Principal Bioinformatics Scientist in Mountain View with a PhD in Computational Chemistry and over a decade of experience translating complex molecular and sequencing data into robust, reproducible analyses. She has advanced expertise in NGS and duplex sequencing pipelines, R/Python tooling, panel design for MRD detection, and quality-control frameworks used in clinical and commercial settings. At TwinStrand she progressed from hands-on pipeline development to leading client analyses, external collaborations, and scientific communication, authoring conference abstracts with academic and industry partners. Her background spans computational chemistry, molecular docking, and radiopharmaceutical development, giving her a rare combination of structural modeling and applied genomics insight. Colleagues rely on her to bridge bioinformatics, software engineering, and experimental teams to deliver interpretable results for ultra-rare mutation detection.
10 years of coding experience
16 years of employment as a software developer
Master's degree Industrial Pharmacy and Radiopharmacy, Master's degree Industrial Pharmacy and Radiopharmacy at USP - Universidade de São Paulo
Bachelor of Science (B.S.) Industrial Pharmacist, Bachelor of Science (B.S.) Industrial Pharmacist at Universidade Estadual de Maringá
University of California, Irvine
English, German, Spanish, Portuguese