Summary
Eliana Papoutsoglou is a Linked Data Consultant with a decade of experience applying semantic modeling, databases, and reproducible data pipelines to make complex scientific datasets FAIR and actionable. With a PhD focused on plant science data at Wageningen University, she blends strong engineering fundamentals with domain expertise to advance community standards and integrate heterogeneous datasets. She has consulted at Taxonic and Y.digital, helping translate research-grade data practices into production-ready solutions that emphasize documentation and interoperability. Keen to deepen her machine learning skills, she brings a practical, solutions-oriented mindset aimed at extracting measurable value from data while championing standards that enable scalable collaboration.
10 years of coding experience
Wageningen University and Research
Master of Science - MS, Electrical and Computer Engineering, Master of Science - MS, Electrical and Computer Engineering at Democritus University of Thrace
English, Greek, German