- Participated in the winning submission at SemEval 2017, task 5.2
- Outstanding Paper Award at EACL 2023
- Ten Year Technical Impact Award from ACM ICMI 2024
- Multiple preprints and conference papers published
Research Experience
- Associate Professor at the Department of Economics & Management, University of Trento (Italy)
- Head of Research at reciTAL.ai
- Research affiliate at Data-Pop Alliance
- Senior data scientist at Fortia Financial Solutions
- Post-doctoral researcher at LIP6, UPMC - Sorbonne Universités
- Post-doctoral researcher at the Mobile and Social Computing Lab, Fondazione Bruno Kessler (TN, Italy)
- Worked on several computer vision and affective computing projects at the Intelligent Systems Lab, University of Amsterdam
- Visiting scholar at the Ambient Intelligence Research Lab, Stanford University (under supervision of Prof. Hamid Aghajan, May-July 2010)
- Visiting scholar at the Human Dynamics Lab, MIT Media Lab (under supervision of Prof. Alex Pentland, October 2011 and August-September 2013)
- Visiting scholar at Telefonica I+D (under supervision of Scientific Director Nuria Oliver, November 2013-February 2014)
Education
- PhD, supervised by Prof. Nicu Sebe, Department of Information Engineering and Computer Science, University of Trento (Italy)
- Bachelor's degree in Computer Engineering from the University of Pisa (Italy), 2003
- MA in Sonic Arts from the Sonic Arts Research Centre, Queen’s University of Belfast (Northern Ireland, UK), 2005
- MSc in Human Language Technologies and Interfaces from the University of Trento (Italy), 2010
Background
Research interests include Natural Language Processing, Deep Learning, and Data Mining. Focuses on modeling human behavior when interacting with technology, behavioral dynamics in small groups, the relationship between personality and social network structure, and virality dynamics in online social networking sites.
Miscellany
Constantly squeezing his brain to unlock value hidden in open/proprietary data. Extracting useful knowledge from (un)structured data to design innovative applications and scenarios.