I was born and raised in the province of Padova, Italy.
I studied in Università degli Studi di Padova for both my B.Sc. degree (thesis: "Incorporating Turns in Noise Minimizing Landing Trajectories for Rotorcrafts", supervised by Francesca Rossi and K. Brent Venable) and my M.Sc. degree (thesis: "Remaining Time Prediction of Running Business Processes Instances", supervised by Alessandro Sperduti).
Then, I worked for two years as Research Engineer at Siav Spa, an Italian company specialized in Enterprise Content Management. As part of the R&D team, my responsibility was to build and test prototypal technology in the areas of process mining, natural language processing and machine learning.
In 2018 I moved to Aachen, Germany, to join the Process and Data Science (PADS) team, founded following the assignation of the Alexander von Humboldt professorship to Prof. Dr. Wil M.P. van der Aalst. The focus of the team is process mining and data science, the interplay between the two, and the application of data and process science to new settings (uncertain, large, distributed data, streams of data, privacy and fairness sensitive environments, responsible process mining). My daily supervisor is Dr.-Ing. Merih Seran Uysal.
In this moment I am focusing on the development of process mining methods that deal with uncertain event data, with the goal of incorporating non-deterministic and stochastic perspectives in classic process mining techniques. Moreover, my duties also include serving as a teaching assistant, fostering collaboration between PADS and other institutions and enterprises, and helping with the outreaching of the team's activities.