Eugène Berta

I am a second year PhD student in the SIERRA project-team at INRIA Paris and École Normale Supérieure. I am advised by Francis Bach and Michael I. Jordan.

Prior to that, I graduated from Télécom Paris and got my Master's degrees in Mathematics, Vision and Learning at Université Paris Saclay.

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While machine learning systems can be incredibly powerful, it is of crucial interest to understand how confident we can be in their outputs. My work focuses on providing statistical guarantees for these predictions. In particular, I do research on classifier calibration, proper scoring rules, and conformal prediction.

I am developping the probmetrics Python package with David Holzmüller. The package provides classification metrics, especially metrics for assessing the quality of probabilistic predictions, and efficient implementations for various post-hoc calibration methods.

I am a teaching assistant for the second year course "Mathématiques fondamentales" in the "Cycle Pluridisciplinaire d’Études Supérieures" (CPES) of Lycée Henri IV and PSL university.