I am an associate professor in the Data, Knowledge and Web Engineering (DKW) group at Aalborg University My research focuses on the management of dynamic knowledge graphs, with a particular interest in querying, processing, and privacy. Currently, I am exploring how knowledge graphs can facilitate privacy-preserving federated analytics in health data through the HEREDITARY project.

Previouly, I was a postdocal researcher at the University of Zurich, and a research fellow at the University of Aberdeen. I earned a PhD from Politecnico di Milano, where my thesis defined a formal reference model to capture the behaviour of existing stream reasoning solutions. During my PhD, I also interned at IBM Research Ireland, and was a visiting student at WU Vienna. My research was recognised with an IBM PhD Fellowship award for 2014/15.

From 2013 to 2016, I contributed to the W3C Community Group on RDF Stream Processing. Earlier in my career, I worked as a junior researcher and consultant at CEFRIEL, participating in Smart City research activities of the LarKC FP7 project and in Web services and recommender systems research for the SOA4All and the Service Finder FP7 projects.

I have made significant contributions to the field of dynamic data on the semantic web, earning best poster awards at ISWC 2018 and 2019. Additionally, I contributed to several serive prototupes in urban contexts, including BOTTARI (1st prize at the Semantic Web challenge 2011), Traffic LarKC (1st prize at the AI Mashup challenge 2011), Twindex and ECSTASYS (respectively 3rd prize at the AI Mashup challenge 2013 and 2014, respectively).