Furio Camillo

Professor of Business Statistics, University of Bologna

Furio Camillo is a teacher in the School of Economics, Statistics and Management of Alma Mater Studiorum, focusing on business intelligence and analytical techniques for CRM and marketing research. He is the director of the master’s program in Marketing Research and Data Mining at Buenos Aires University of Bologna. Since 1987 he participated as scientific consultant in more than 250 applied analytical projects with private and public organizations.

Official website – Linkedin-page

valeValentina Adorno

Coordinator of Applied Research, Statistical Data Scientist, PhD.

Valentina Adorno got a PhD. in Statistics with a thesis on Program evaluation and causal inference. After some relevant academic experiences (University of Bologna, Bocconi University), she worked as Data Analyst in the Commercial Unit of Yoox, a leader e-commerce retailer company. During last years she participated as analytical consultant in more than 20 applied projects with private and public organizations.


DataScienceLAB relies on the stable support of 2 junior statistical data scientists and 2 trainees.

DataScienceLAB believes the crucial role of young generation graduates in the building of new skills related to the analysis of statistical information: the Statistical Data Scientist.

DataScienceLAB takes advantage of a widespread international and interdisciplinary network of researchers with backgrounds in economics, business administration, statistics, psychology, sociology and communications that allows DataScienceLAB to stay up-to-date with all the latest developments in the field of Modern Statistical Analysis.

Besides University of Bologna DataScienceLAB has established partnerships with:

Cnam University – Paris, France (predictive and structural modelling)

Essec University – Paris, France (modelling in marketing)

Business School University of Edinburgh – Edinburgh, Ireland (economics and probability optimization)

Bicocca University – Milan, Italy (time series and non-parametric modelling)

University of Tennessee – USA (complexity analysis)

Credoc – Paris, France (intangible data, opinion analysis and semiometria)

University of Arizona – USA (impact evaluation models)