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Team · 2022
Nicolas Raymond
MSc Computer scienceNicolas Raymond started his master's degree in computer science during the summer of 2020. His research project focused 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.
Research Interests
Machine learningMultiomics dataGraph neural networksTree-structured models (e.g., Random forest, XGBoost)Hyperparameter optimization
Education
- MSc Computer scienceUniversité de Sherbrooke, Sherbrooke, Canada2020-2022
- BSc MathematicsUniversité de Sherbrooke, Sherbrooke, Canada2016-2019