Since 2011 I have been an associate professor at the Computer Science Department of the University of Milan, where I am also a member of the scientific board of the Data Science Research Centre. Before that, I was assistant professor at the same institution and, earlier, worked in the private sector as a software architect, a statistical analyst and a software developer. I received a PhD in Computational Mathematics and Operations Research and a Master degree in Computer Science from the University of Milan.
My research activities focus on machine learning, and in particular on: reliability of AI systems, data-driven induction of fuzzy sets, compression of machine learning models, learned data structures, knowledge graphs and language models in biomedicine, and negative sample selection. I coordinate the SLIM laboratory (Statistics, Learning and Intelligent Modeling), which develops methodologies for intelligent data analysis at the intersection of statistics, machine learning and optimization. I authored and co-authored about 140 publications (ORCID 0000-0002-7574-697X), and I participated in the activities of more than ten research projects and research groups, both at national and international level. I release the software I develop as open source on GitHub.
I currently teach Statistics and data analytics in the bachelor's degree in Computer Science and Algorithms for massive datasets in the master's degrees in Computer Science and in Data Science and Economics at the University of Milan. Previously, I taught courses in Advanced databases, Computer programming, Computing education, Data mining, Operating systems, Software engineering and Simulation within bachelor and master programmes in Computer Science, Mathematics and Statistics at the University of Milan and at the Université Côte d'Azur. I also organized and taught several PhD courses within the areas of Machine learning and Scientific computing, and I am a member of the faculty board of the PhD programme in Computer Science. I supervised around 160 theses in the fields of machine learning and computer science.
I have been longtime involved in computing education for primary and secondary schools, and in teacher training. Between 2012 and 2017 I was deputy director of the Computer science Department for cultural promotion and prospective students, and I coordinated the board for prospective students and vocational orientation of the Science and Technology division of the University of Milan. I pursue several popularization activities in the computing field, and I am a founding member of the ALaDDIn lab. I participated in the production of Digito ergo sum, a radio broadcast on computing.