Francis Chemorion
@francischemorion
I build enterprise knowledge graphs and AI inference systems from complex life-sciences data.
What I'm looking for
I build knowledge graphs and AI inference systems that turn complex biomedical and enterprise data into actionable knowledge. At MIGx AG, I architect modular OWL 2 DL ontologies, SHACL validation, SPARQL materialisation, and LLM-augmented ontology enrichment across more than 11 enterprise domains.
Previously at BCN-MedTech and InSilicoTrials Technologies, I integrated clinical, genomic, metabolomic, imaging, and relational data into FAIR-compliant graph platforms. I've developed LLM-powered literature extraction, graph-derived ML features for clinical trial outcome prediction, production Python ETL pipelines, and graph services using Neo4j, GraphDB, RDF, and SPARQL.
Experience
Work history, roles, and key accomplishments
Senior Knowledge Engineer
MIGx AG
Dec 2025 - Present (9 months)
Architect modular OWL 2 DL ontologies and SHACL validation shapes for enterprise knowledge graphs. Integrate PROV-O, SKOS, and Schema.org vocabularies, and develop LLM-augmented workflows for ontology enrichment.
Education
Degrees, certifications, and relevant coursework
Universitat Pompeu Fabra
Doctor of Philosophy, Computer Science
2021 - 2025
Pursued a PhD in Computer Science specializing in knowledge graph architecture and AI-driven data integration for the life sciences.
South Ural State University
Master of Science, Computer Engineering
2019 - 2021
Completed a Master of Science in Computer Engineering.
St. Paul's University
Bachelor of Science, Information Technology
2011 - 2015
Earned a Bachelor of Science in Information Technology.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Website
kchemorion.github.ioSalary expectations
Job categories
Skills
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