Ana Julia is a CONICET-funded structural bioinformatician and data scientist with eight years of experience bridging protein structure–function research and practical software development. She leads research and platform efforts—building tools like CaviDB and contributing to CardiAP—while teaching bioinformatics and data analysis at two universities. Her work blends cloud-native bioinformatics pipelines, web apps, and machine learning for genomics and bioimaging with hands-on database and backend engineering. A community builder, she co-founded Women in Bioinformatics & Data Science LA and created Bioinformatics Goes to School to bring computational biology into classrooms. Her profile combines rigorous PhD-level research on enzyme promiscuity with production-grade tooling and a track record of translating methods into educational and open resources.
8 years of coding experience
4 years of employment as a software developer
PhD, Biomathematics, Bioinformatics, and Computational Biology, Doctora en Ciencia y Tecnología, PhD, Biomathematics, Bioinformatics, and Computational Biology, Doctora en Ciencia y Tecnología at Universidad Nacional de Quilmes
Tramo de formación pedagógica, EDUCATION, Tramo de formación pedagógica, EDUCATION at Intituto Guido Andrei
Tecnico Químico Universitario, Chemestry, Tecnico Químico Universitario, Tecnico Químico Universitario, Chemestry, Tecnico Químico Universitario at Universidad Nacional de La Plata
Contributions:105 commits, 91 pushes, 1 branch in 3 years 1 month
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