Summary
Volha Bryl is a Senior Ontology Engineer based in Heidelberg with 12 years of experience translating complex scientific domains into production-ready knowledge graphs and semantic architectures. Her background spans academic research (PhD-level work on web data fusion and linked data) and industry roles at Springer Nature, Frontiers, Capgemini Engineering and now AbbVie, where she focuses on AI-ready, clean data for life sciences. She blends formal knowledge representation and pragmatic data engineering—skills honed building search and database products for chemistry, pharma and materials—and is fluent with tools like Neo4j, BigQuery and Python. Known for shaping reproducible data production pipelines and automating quality checks, she brings a rare mix of theoretical rigor and hands-on implementation that helps AI systems reason over scientific content.
12 years of coding experience
18 years of employment as a software developer
Ms Applied Mathematics and Computer Science, Ms Applied Mathematics and Computer Science at Belarusian State University
PhD Information and Communication Technology, PhD Information and Communication Technology at Università di Trento
English, Russian, Russian, Italian, German