I am an Associate Professor at the Department of Computer Science of the Institute of Mathematics and Statistics of the University of São Paulo. My research mostly focuses on the computational aspects of discrete probabilistic graphical models (e.g., Bayesian networks, credal networks, sum-product networks) and their use in classification, robust inference and planning under uncertainty. More recently, I became very enthusiastic about probabilistic logic programming and its connection to neurosymbolic reasoning. My group is currently building a neuro-symbolic reasoner supported by such techniques.
I am an Area Editor of the International Journal of Approximate Reasoning, an Associate Editor of the Artificial Intelligence Journal, and Senior Associate Editor of the new ACM Transactions on Probabilistic Machine Learning Journal. I serve regularly in the Program Committee of top AI conferences (AAAI, IJCAI, UAI, etc).
PhD Informatics
University of Lugano
MEng in Mechatronics
University of São Paulo
Electrical Engineering
University of São Paulo
In this talk I'll give a gentle but rigorous introduction to logic programming, probabilistic logic programming and neuro logic programming.
May 9, 2025
A gentle introduction to credal networks, with a focus on the very basics (credal sets, independence, elicitation), and on algorithms for marginal inference
Dec 8, 2020