Riccardo's research interests encompass the design of algorithms for information retrieval, machine learning, and data mining applied to real-world data collections.He is currently focusing on machine learning applied to clinical data for personalized medicine. His previous work concerned (1) clinical trial search engines through free-text eligibility criteria processing, and (2) music information retrieval, in particular semantic discovery and recommendation, automatic tagging, and cover identification.