Her main activity relates to consumer studies and, in particular, to the treatment of sensory, instrumental, and social data, and to their correlation through traditional statistical methods and innovative data mining techniques. She co-authored 41 papers (May 2016) on ISI-Journals.
During the doctorate, she has worked in two prestigious European research centres: the Campden BRI (Chipping Campden, UK), where she investigated the reliability control of a sensory panel in an inter-laboratory testing context, and the ENITIAA-INRA (Nantes, F), where she mainly worked on variables grouping methods, the deepening of which became her Ph.D. thesis topic.
- Studying individual differences
- Understanding consumer choice
- Relationship between consumer and sensory data
- Multivariate data analysis
She has graduated in Demographic and Social Statistical Science in 2003 at the University of Padua (Italy). After the degree, she has started to work in the agri-food field with the Sensory Quality group of Fondazione Edmund Mach, focusing on the topics of sensory analysis and on consumer studies, and taking part in several research investigations on different food matrices under the supervision of Flavia Gasperi. In 2008, she has achieved a Ph.D. in Statistical Methods for Scientific Research with the thesis ‘Clustering of variables around latent components: An application in consumer science’.
Since 2003 she has several experiences as Lecturer in experimental design and statistical methods for sensory analysis and consumer science.