Daniele Dell'Aglio

I am Daniele Dell'Aglio, an associate professor 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

I build privacy-preserving methods to extract and structure knowledge from semi-structured and unstructured data, with a particular focus on health, so it can be analysed reliably and at scale.

Current projects

I contribute to the HEREDITARY project, investigating knowledge graph-based approaches to privacy-preserving federated analytics, and lead the AI:HealthData project, which explores how clinical data can be transformed into structured, interpretable representations to support decision-making.

Background

My research builds on more than a decade of experience in the Semantic Web, dynamic knowledge graphs, and privacy-aware data science, bridging 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 I was awarded an IBM PhD Fellowship.

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 research has received international recognition, including the Best Paper Award at ADBIS 2025 and Best Poster Awards at ISWC 2018 and 2019.