I am an associate professor in the Data Engineering, Science and Systems (DESS) group at Aalborg University, where my research centers on knowledge graphs and data privacy. In particular, I study how knowledge graphs can be constructed, queried, and integrated to support robust, transparent, and privacy‑preserving data processing.

I am currently advancing my research in the health data domain, investigating how knowledge graphs can enable privacy‑preserving federated analytics in the HEREDITARY project.

My research builds on more than a decade of experience in the semantic web, dynamic knowledge graphs, and privacy‑aware machine learning. I earned a PhD from Politecnico di Milano with a thesis on a formal reference model to capture the behaviour of stream reasoning systems. During my PhD, I spent research periods at IBM Research Ireland and WU Vienna, and my work recognised with an IBM PhD Fellowship award 2014/15.

Before joining Aalborg University, I was a postdoctoral researcher at the University of Zurich, and a research fellow at the University of Aberdeen. Before my PhD, I gained industrial experience working as a junior researcher and consultant at CEFRIEL

My research has been recognised with awards at ADBIS 2025 (best paper award) and ISWC 2018 and 2019 (best poster awards). I also contributed to several service prototypes in the context of smart cities, such as BOTTARI (1st prize at the Semantic Web Challenge 2011), Traffic LarKC (1st prize at the AI Mashup Challenge 2011), Twindex, and ECSTASYS (3rd prizes at the AI Mashup Challenge 2013 and 2014, respectively).