Nathan Painchaud
I am currently a postdoctoral researcher at CREATIS, at INSA Lyon (France), where I work on multimodal learning on graphs and clinical data for pulmonary embolism risk stratification models.
Prior to my post-doc, I obtained my joint Ph.D. between VITAL, at the Université de Sherbrooke (Canada), and CREATIS, working on deep representation learning for cardiac medical image analysis.
Research Interests
Methodology
- Representation learning
- Multimodal learning
- Graph learning
- Neural networks interpretability
Applications
- Quantitative medical image analysis
- Multimodal medical data fusion
- Population representation
Education & Research Experience
- Postdoctoral researcher, CREATIS (Lyon), 2024-
- Ph.D. in Computer science (Joint Ph.D.), 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