The Multi-source Probabilistic Inference (MUPI) group studies statistical machine learning methods and inference techniques for analyzing and understanding heterogeneous data collections. The group develops both new theory and practical computational tools for joint analysis of multi-source data for various application fields. MUPI is a part of the CoSCo group.

Contact person: Academy Research Fellow Arto Klami
Home page: https://www.hiit.fi/cosco/mupi