Bruno Apolloni is full professor in Computer Science at the Department of Computer Science of the Milan University, Italy. His main research interests are in the frontier area between probability, mathematical statistics and computer science, with special regard to statistical bases of learning, subsymbolic and symbolic learning processes, granular computing, and modeling of dynamical processes in biology and in network theory. He introduced the Algorithmic Inference approach in statistics as a conceptual and methodological tool to solve modern computational learning problems with the massive use of computers. In particular, it provides a unifying theoretical framework to the various data analysis and management disciplines converging under the granular computing heading. He also introduced some non-markovian processes to model intentionality in a wide range of biological systems ranging from bacteria colonies to social communities. Recently he focused on new paradigms of social networks based on advanced WEB services and computational intelligence tools. He authored around 150 scientific papers and two monographs.