Background

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.

Motivation

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

• Data science
• Data analytics
• Big data
• Data management
• Machine learning
• Artificial intelligence
• Bioinformatics
• Career planning or change
• Work-life balance
• PhD advice

Programming languages and software

• Python
• R
• SQL
• Java