Nicolas Raymond

Nicolas Raymond

Former student (M. Sc. Computer science)

Université de Sherbrooke

Nicolas Raymond started is master’s degree in computer science during the summer of 2020. His research project focuses on the development of machine learning models for the diagnostic and the prediction of late adverse effects associated to childhood acute lymphoblastic leukaemia treatment. He is mostly dedicated to the application and the design of new graph neural network architectures.

Interests
  • Machine learning
  • Multiomics data
  • Graph neural networks
  • Tree-structured models (e.g., Random forest, XGBoost)
  • Hyperparameter optimization
Education
  • M. Sc. Computer science, 2020-2022

    Université de Sherbrooke, Sherbrooke, Canada

  • B. Sc. Mathematics, 2016-2019

    Université de Sherbrooke, Sherbrooke, Canada

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