The MUPI group carries research on statistical machine learning and artificial intelligence. Our main goals are to

- Develop computational techniques for learning under uncertainty, based on approximate Bayesian inference and probabilistic programming
- Solve interesting data-driven applications, focusing in problems short on data that hence need advanced modeling techniques based on data integration, semi-supervised learning etc.