I am a researcher in Knowledge Representation (KR), Logics and Databases. My main interest are KR for data quality and efficient algorithms for logical reasoning; however, I am really interested in all related to applied KR and Knowledge Graph construction. I've previously worked in mapping languages for KGs and structured schemas, entity linking and disambiguation, machine learning for relation extraction and validation, information extraction for KG construction and more recently, graph and text embeddings for non-logical inference over graphs.

Previously, I worked as an associate researcher (non-tenure) at the Free University of Bozen Bolzano. Later I moved to IBM AI, where I served as technology lead in projects focused on knowledge management, integration and reasoning. I currently work in Google NYC as an Ontologist/Linguist in the KG Schema and Semantic Engineering teams, where I focus on KR for data integration and query answering.

The topic of my Ph.D. dissertation was efficient query-rewriting-based reasoning techniques for OWL2 QL and SPARQL. I lead a team in the development of -ontop-, a system for on-the-fly SPARQL to SQL translation that implements the ideas behind my dissertation (e.g., OWL2QL/RDFS reasoning on virtual R2RML graphs, efficient query rewriting through pre-compiled inferences in R2RML mappings, and query rewriting optimization through semantic query optimization).