معرفی
Paula Brito is an Associate Professor at the School of Economics of the University of Porto, where she teaches Statistics and Multivariate Data Analysis at undergraduate and post-graduate levels. She is a member of the Artificial Intelligence and Decision Support Lab (LIAAD) at INESC-TEC. She holds a PhD in Applied Mathematics from the University of Paris Dauphine (1991). Her research focuses on symbolic data analysis, including methodologies for multidimensional complex data (e.g., distributional data), clustering, and statistical modeling. She has contributed to applications in environmental monitoring, social networks, labor markets, and anomaly detection.
Key projects include developing parametric models for distributional data, symbolic principal component analysis for air quality studies, and community detection in interval-weighted networks. Her work on Luxembourg’s labor market highlights immigrant group dynamics using symbolic data techniques.
She has supervised multiple theses on topics such as anomaly detection in financial markets, symbolic pattern mining in networks, and multiclass classification of distributional data. Paula is affiliated with LIAAD, fostering interdisciplinary research in artificial intelligence and decision support systems.
