Background

My main research interest lies in the management of graph data, including data analytics, learning and data privacy. 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 Data Privacy and Graph Analytics and Learning, and I 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 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, including career planning and PhD life.

Skills, expertise, and interests

• • data science
  • machine learning
  • deep learning
  • artificial intelligence
  • data analytics
  • career planning or change
  • big data
  • data management
  • PhD advice
  • project management
  • time management
  • academic writing skills
  • forming sustainable habits
  • bioinformatics
  • mental health and well-being