Olivier Lefebvre is a PhD student in computer science since 2021. His research focuses on predictive model errors and predictive confidence. The goal of his project is to identify potential predictive errors, explain underlying causes, and improve these models to improve predictive confidence for all patients.
Interests
- Machine learning
- Federated learning
- Differential privacy
- Uncertainty and interpretability of machine learning models
Education
Ph. D. Computer science, 2021-
Université de Sherbrooke, Sherbrooke, Canada
B. Sc. Mathematics, 2017-2020
Université de Sherbrooke, Sherbrooke, Canada