Cristina Espinoza is an AI Data Science Specialist with 13 years of experience bringing rigorous data stewardship to scientific and machine learning projects, currently shaping FAIR² data structures at Senscience and leading data curation efforts for the Blue Brain Project at EPFL. Trained as a theoretical chemist (PhD), she blends domain expertise with practical software engineering to design schemas, ontologies, and validation pipelines that make complex neuroscience datasets reproducible and machine-ready. Her work uniquely spans knowledge graphs, 3D brain atlases, and automated Python toolkits for data stewardship, emphasizing maintainable, production-quality code. Certified in Machine Learning with Graphs from Stanford Online, she focuses on enhancing data quality and enabling knowledge-graph reasoning to unlock actionable scientific insights.
13 years of coding experience
Doctor of Philosophy - PhD, Theoretical Chemistry, Doctor of Philosophy - PhD, Theoretical Chemistry at McMaster University
Tools to perform FDET calculations using MD averaged densities.
Contributions:18 PRs, 100 pushes, 14 branches in 1 year 10 months
entropycalculationsslicejuliainterval-arithmetic
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