Chairholder | Pierre-Alexandre Mattei

Pierre-Alexandre Mattei is a Research Scientist at Inria. He is part of the Maasai (Models and Algorithms for Artificial Intelligence) team and is also affiliated with the J.A. Dieudonné lab and holds a 3IA Côte d'Azur chair.

His field of research is statistical machine learning, with a particular emphasis on hidden variables and model uncertainty. He is a co-organiser of several annual events related to machine learning: Statlearn, GeMSS, GenU, and the SophI.A Summit. 

The successes of machine learning remain limited to clean and curated data sets. By contrast, real-world data are generally much messier. We work on designing new machine learning models that can deal with “dirty” data sets that may contain missing values, anomalies, or may not be properly normalised. Collaborators include doctors and astronomers.