My main research interest lies in the management of graph data, including applying analytics and machine learning tasks. I am interested in studying new methods and algorithms, as well as developing system prototypes and proof of concepts. On the teaching side, I am involved in the Data Science and Machine Learning education at Aalborg University, where I teach Web Data Science, Data Privacy and supervise semester projects.
I hold a PhD in Information Technology from Politecnico di Milano. Before joining Aalborg University, I was a postdoc at the University of Zurich, and a research fellow at the University of Aberdeen. During my PhD, I also spent a summer at IBM Research Ireland as a research intern and a trimester at WU Vienna as a visiting student. Before getting enrolled in the PhD program, I worked for a few years as a consultant and junior researcher at CEFRIEL, a digital innovation centre in Milano.
Throughout my career, I have met various mentors that have guided me and contributed to letting me achieve my objectives. I feel extremely lucky for these opportunities. Following my mentors’ example, I aim to help young and aspiring data scientists pursue their goals. I am interested in discussing various aspects of the data scientist career, such as academic career planning and PhD life, as well as digging into more technical aspects.
Skills, expertise, and interests
Programming languages and software