Summary
Daniel Garijo is an associate professor and researcher with 14 years bridging e-Science and the Semantic Web, focused on making scientific software and workflows more understandable by leveraging documentation, provenance and Linked Data. He collaborates with USC's Information Sciences Institute and has a strong background in ontology and knowledge engineering that connects domain experts to usable, interoperable data. His work combines academic rigor from a PhD trajectory with practical research roles that produced methods for exposing workflow inputs, outputs and intermediate results as machine-readable metadata. Based in Madrid, he brings experience across university research, consultancy, and industry-funded scholarship, which helps him translate theoretical models into applied tooling for reproducible science. An often-overlooked strength is his emphasis on human-readable explanations of provenance, not just formal representations, improving adoption by scientists.
14 years of coding experience
15 years of employment as a software developer
Ingeniería Superior, Informatics, Ingeniería Superior, Informatics at Universidad Complutense de Madrid
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Facultad de Informática (Universidad Complutense de Madrid)
English, Spanish, French