Summary
Natallia Kokash is an IT consultant and research software developer with 13 years of experience building data-driven systems across academia and industry, currently based in Amsterdam. She leads the NIH-funded ApiNATOMY WebGL model viewer and builds reproducible pipelines for large-scale bibliographic and citation extraction, knowledge graph creation, and federated data processing. Her background spans software engineering, machine learning, and domain-specific tooling—from a domain language and Eclipse IDE for pharmacometrics to AI features for enterprise decisioning at Pegasystems. Comfortable across stacks (WebGL, Node.js, Neo4j, Python, R, Java), she combines rigorous academic research with production-grade engineering to turn messy PDFs and sensitive data into linked, actionable knowledge. A less obvious strength is her track record of translating domain expertise into developer tools and reproducible pipelines that scale across disciplines and preserve provenance.
13 years of coding experience
13 years of employment as a software developer
Master's degree, Computational and Applied Mathematics, Master's degree, Computational and Applied Mathematics at Belarusian State University
PhD, Information Technology, PhD, Information Technology at Università di Trento