My Ph.D. thesis was titled: “The Dao of Wikipedia - Extracting Knowledge from the Structure of Wikilinks”.
My Ph.D. program has been partially funded by SpazioDati s.r.l..
My research encompasses the field of data mining and knowledge extraction, with a particular focus on graphs. I am interested in graph algorithms, machine learning, and data mining techniques on graphs and time-evolving graphs.
Graphs are fundamental structures that can encode many aspects of the data available today in digital form. Many applications use graphs as a data structure to provide services as suggesting friends on social networks or answer queries on knowledge bases. These applications require the ability to process massive graphs. Furthermore, another common feature of these graphs is that they evolve with time, i.e., their node and edges vary at different times.
I am an advocate for free software and open knowledge.