
Juan F. Sequeda
Researcher · Knowledge Graphs
Schloss Dagstuhl - Leibniz Center for InformaticsAbout
Juan F. Sequeda is the Principal Scientist and Head of the AI Lab at data.world, with a PhD in Computer Science from the University of Texas at Austin. He co-founded Capsenta, a spin-off from his research on semantic data virtualization. His work bridges academia and industry through roles in the Property Graph Schema Working Group, LDBC Graph Query Languages task force, and W3C standards editing.
- Education: PhD in Computer Science (2015) from University of Texas at Austin
His research focuses on Knowledge Graphs, Semantic Web, and Ontology-Based Data Integration. He develops technologies for graph data management and semantic query processing, with applications in constitutional data analysis (Constitute.org) and enterprise data virtualization (Ultrawrap, Gra.fo, G-CORE).
Recent publications analyze composable graph query languages (G-CORE, 2018) and optimize SPARQL execution on relational data (Ultrawrap, 2013). Awards include NSF Graduate Fellowship (2010-2013), ISWC2014 Best Student Paper, and 2015 Institute for Applied Informatics Best Transfer Project.
- Scientific Awards:
- NSF Graduate Research Fellowship (2010-2013)
- 2nd Place, 2013 Semantic Web Challenge
- Best Student Research Paper, ISWC2014
- 2015 Best Transfer and Innovation Project (Institute for Applied Informatics)
- UT Graduate Diversity Fellowship (2008-2009)
- National Instruments Scholarship (2007-2008)
- Intel Foundation Fellowship (2007)
He actively contributes to program committees (ISWC, ESWC, WWW) and workshop organization (COLD, AMW2018 General Chair). Contact: juan@data.world (work), juanfederico@gmail.com (personal).
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