2022_23

Gradient boosting is an effective learner developed for classification tasks and then extended to all statistical problems. This project focuses on applications to survival analysis and aims at developing new boosting models to handle time-to-event data.

Statistical learning methods for chemistry applications [add link] is a collaborative project between statisticians and chemists. The project aims at developing statistical learning tools to support chemists (but not only) in their research.