Nathan Painchaud

Ph.D. student in a cotutelle between VITAL at the Université de Sherbrooke (CA) and CREATIS in Lyon (FR) working on deep learning for healthcare. 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-
  • M.Sc. in Computer Science, Université de Sherbrooke, 2019-
  • B.Sc. in Computer Science, Université de Sherbrooke, 2016-2019