Nathan Painchaud
In 2024, I obtained my Ph.D. in co-supervision between VITAL, at the Université de Sherbrooke (CA), and CREATIS, at INSA Lyon (FR), working on deep learning for analyzing healthcare data. My specialties are in representation learning and cardiac medical imaging.
Research Interests
Methodology
- Representation learning
- Neural networks interpretability
- Multimodal learning
- Mathematical properties of neural networks
Applications
- (Cardiac) medical image analysis
- Electronic health records analysis
Education
- Ph.D. in Computer science (cotutelle), Université de Sherbrooke / INSA Lyon, 2020-2024
- M.Sc. in Computer Science, Université de Sherbrooke, 2019-
- B.Sc. in Computer Science, Université de Sherbrooke, 2016-2019