Currently working as data scientist, coordinating the data analysis and research activities to support the development of a B2B recommender system for digital media, with a 10-year experience in the field, including both academic research and its application to production environments.
I obtained a Ph.D. in Computer Engineering and worked for about 2 years as post-doc at Politecnico di Milano (Milan, Italy), where I was involved both in research and in teaching activities.
As a teacher, I taught to B.sc. and M.sc. students, both as course owner and as assistant professor, also supervising students in projects and theses.
I am still involved in research activities, being the leader of one of the work packages – of a three-year FP7 European project (namely CrowdRec) – dedicated to the development of recommendation algorithms.
I published several scientific papers, mainly in the area of recommender systems, presenting the main outcomes in international conferences. I am involved and well-recognized in the recommender systems community, being part of the program committee of the main scientific conference on recommender systems (ACM RecSys), organizer of several workshops (e.g., RecSysTV workshop, CrowdRec workshop) and of the ACM RecSys challenge 2014, and presenting tutorials.