Past project

Pairwise Molecular Representation Learning for Improved and Explainable Property Prediction

Tom MacDougal, co-supervision with Anne Marinier

May 1, 2019 Maîtrise
Pairwise Molecular Representation Learning for Improved and Explainable Property Prediction
Investigate the Role of Transcriptional Regulation in Breast Cancer Heterogeneity Using Single Cell RNA Sequencing (scRNA-seq) Data

Marjolaine David, co-supervision with Sylvie Mader

Jan 1, 2019 Maîtrise
Investigate the Role of Transcriptional Regulation in Breast Cancer Heterogeneity Using Single Cell RNA Sequencing (scRNA-seq) Data
Improving Peptide-Centric Mass Spectrometry with Deep Learning

Jérémie Zumer

Sep 1, 2018 Doctorat
Improving Peptide-Centric Mass Spectrometry with Deep Learning
Enhancing the Drug Discovery Process - Using Bayesian Inference for the Analysis of Dose-Response Experiments

Caroline Labelle, co-supervision with Anne Marinier

May 1, 2018 Doctorat
Enhancing the Drug Discovery Process - Using Bayesian Inference for the Analysis of Dose-Response Experiments
The Factorized Embeddings Model: Towards a Data-driven Cell Atlas

Assya Trofimov, co-supervision with Claude Perreault

May 1, 2018 Doctorat
The Factorized Embeddings Model: Towards a Data-driven Cell Atlas
The Non-Canonical Proteome Uniquely Populates the Proteome or Immunopeptidome

Maria Virginia Ruiz Cuevas, co-supervision with Claude Perreault

Jan 1, 2018 Doctorat
The Non-Canonical Proteome Uniquely Populates the Proteome or Immunopeptidome