Javier García is a Senior Information Architect and Principal Data Scientist with 12 years of experience, currently enabling data interoperability and FAIRification of clinical knowledge graphs at Roche in Basel. He combines deep research pedigree—a dual-PhD background and postdoctoral work on Big Semantic Data and privacy-aware technologies—with hands-on engineering to make complex biomedical data discoverable and consumable. Javier co-authored HDT, a notable RDF compression technique, and has published over 40 papers while serving on program committees for ISWC, ESWC and SEMANTICS. His expertise spans ontology-based access, RDF streaming, archiving and querying dynamic linked data, applied to real-world clinical trial workflows. Colleagues value his ability to translate formal semantic models into scalable production architectures that preserve privacy and performance. He brings a rare mix of academic rigor and product-focused delivery to data-driven healthcare challenges.
12 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at Universidad de Chile
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at Universidad de Valladolid
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