Daniele Dell'Aglio
I design knowledge-driven methods for privacy-aware analysis of heterogeneous and dynamic data.
I am an Associate Professor in the Data Engineering, Science and Systems (DESS) research group at Aalborg University, working at the intersection of knowledge graphs, artificial intelligence, and data privacy, with the goal of enabling reliable and scalable analysis of heterogeneous and dynamic data.
Research
My research focuses on extracting, structuring, and analysing complex data, with particular attention to privacy and applications in health.
Current projects
I contribute to the HEREDITARY project, where we investigate knowledge graph-based approaches to privacy-preserving federated analytics, and lead AI:HealthData, which explores how clinical data can be transformed into structured and interpretable representations for decision support.
Background
My research builds on more than a decade of work in the Semantic Web, dynamic knowledge graphs, and privacy-aware data science, at the intersection of data management and machine learning.
I obtained my PhD from Politecnico di Milano with a thesis on a formal reference model for stream reasoning systems. During my PhD, I spent research periods at IBM Research Ireland and WU Vienna, and received an IBM PhD Fellowship Award.
Before joining Aalborg University, I was a postdoctoral researcher at the University of Zurich and a research fellow at the University of Aberdeen. Earlier, I gained industrial experience at CEFRIEL.
Recognition
My work has received international recognition, including the Best Paper Award at ADBIS 2025 and Best Poster Awards at ISWC 2018 and 2019.