Nathan Painchaud

I am currently a postdoctoral researcher at CREATIS, at INSA Lyon (FR), 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 (CA), and CREATIS, working on deep representation learning for cardiac medical image analysis.

Research Interests

Methodology

  • Representation learning
  • Multimodal learning
  • Neural networks interpretability
  • Mathematical properties of neural networks

Applications

  • (Cardiac) medical image analysis
  • Population representation
  • Multimodal medical data fusion

Education & Work Experience

  • Postdoctoral researcher, CREATIS (Lyon) / LIX (Paris) / ICube (Strasbourg), 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