Our graduate students contribute to the advancement of research in fields involving artificial intelligence and data science

Graduate students work together with IID researchers to contribute to the development and enrichment of knowledge in a multitude of fields of application – from industry 4.0 to the Internet of Things (IoT), from machine learning methods to immersive technologies, from smart cities to medical imaging, and more.

Students

Ronan Lefol

Research center(s)
  • CRDM
Department(s)
  • Department of Physics, Physics Engineering and Optics
Program(s)

Ph.D. in Physics

Supervisor(s)
  • Philippe Després

Portfolio dosimétrique personnalisé par calcul Monte Carlo en radiologie diagnostique

Data Science Health

Isabelle Hudon

Department(s)
  • Department of Industrial Relations
Program(s)

Ph.D. in Industrial Relations

Supervisor(s)
  • Lyse Langlois

Les dimensions éthiques et politiques de l’expérience des administrateurs d’établissements de santé publique du Québec

Ethics and Law Health

Daniel Gourdeau

Research center(s)
  • CRDM
Department(s)
  • Department of Physics, Physics Engineering and Optics
Program(s)

Ph.D. in Physics

Supervisor(s)
  • Louis Archambault
  • Simon Duchesne
  • Philippe Després

Synthetic FDG PET from MRI data (Prédiction d’évolution des démences par la radiomique)

Data Science Health

Pierre-Louis Gagnon

Research center(s)
  • CERVO
  • CRDM
Department(s)
  • Department of Computer Science and Software Engineering
Program(s)

Ph.D. in Computer Science

Supervisor(s)
  • François Laviolette
  • Pierre Marquet

Développement d’algorithmes d’apprentissage automatique en microscopie holographique numérique

Computer Vision Health Machine Learning

Maxime Deraspe

Research center(s)
  • CRDM
Department(s)
  • Department of Molecular Medicine
Program(s)

Ph.D. in Molecular Medicine

Supervisor(s)
  • Jacques Corbeil
  • Paul H. Roy

Utilisation of Kmer and NGS sequencing to compare complex genomes using Ray surveyor

Data Science Health

Jehane Abed

Research center(s)
  • CRDM
Department(s)
  • Department of Biochemistry, Microbiology and Bioinformatics
Program(s)

Ph.D. in Microbiology-Immunology

Supervisor(s)
  • Jacques Corbeil
  • Michel Bergeron

Multiomic approach to characterize the gut microbiota of an Inuit youth cohort (16-30 years) from Nunavik (Northern Quebec, Canada)

Health

Victor Pattee-Gravel

Research center(s)
  • CERVO
Department(s)
  • Department of Mathematics and Statistics
Program(s)

Master’s in Mathematics

Supervisor(s)
  • Simon Duchesne
  • Nicolas Doyon

Brain health model

Data Science Health

Colin Panter

Research center(s)
  • CERVO
  • CRDM
Department(s)
  • Department of Computer and Electrical Engineering
Program(s)

Master’s in Electrical Engineering

Supervisor(s)
  • Christian Gagné
  • Flavie Lavoie-Cardinal

Multi-task deep learning approaches applied to optical microscopy image analysis

Computer Vision Health Machine Learning

Mostafa Mousavi

Research center(s)
  • CRDM
Department(s)
  • Department of Family and Emergency Medicine
Program(s)

Master’s in Epidemiology

Supervisor(s)
  • Holly Witteman
  • Audrey Durand

People living with diabetes : Answering questions with machine learning

Health Machine Learning

Albert Michaud-Gagnon

Research center(s)
  • CERVO
  • CRDM
Department(s)
  • Department of Computer and Electrical Engineering
Program(s)

Master’s in Electrical Engineering

Supervisor(s)
  • Audrey Durand
  • Flavie Lavoie-Cardinal

Optimisation en ligne automatisée des paramètres de microscopie de super-résolution

Computer Vision Health Machine Learning

Gabriel Leclerc

Research center(s)
  • CeRVIM
  • CRDM
Department(s)
  • Department of Computer and Electrical Engineering
Program(s)

Master’s in Electrical Engineering

Supervisor(s)
  • Christian Gagné
  • Flavie Lavoie-Cardinal

Application d’approches d’apprentissage profond pour la détection d’événements calcique spontanés reliés à la plasticité synaptique

Health Machine Learning

Sewagnouin Rogia Kpanou

Research center(s)
  • CRDM
Department(s)
  • Department of Computer Science and Software Engineering
Program(s)

Ph.D. in Computer Science

Supervisor(s)
  • Jacques Corbeil
  • Elsa Rousseau

Characterization of drug-drug interactions by deep learning

Health Machine Learning

Élina Francovic-Fontaine

Research center(s)
  • CRDM
Department(s)
  • Department of Computer Science and Software Engineering
Program(s)

Ph.D. in Molecular Medicine

Supervisor(s)
  • Jacques Corbeil
  • Pascal Germain

Data Science Health Machine Learning

Owen Ferguson

Research center(s)
  • CeRVIM
  • CERVO
  • CRDM
Department(s)
  • Department of Psychiatry and Neurosciences
Program(s)

Ph.D. in Biophotonics

Supervisor(s)
  • Flavie Lavoie-Cardinal
  • Martin Lévesque

Super-resolution microscopy of Parkinson’s Disease effect on mitochondrial structure and dynamics

Computer Vision Health

Juan Miguel Dominguez

Research center(s)
  • CRDM
Department(s)
  • Department of Molecular Medicine
Program(s)

Master’s in Bio-Informatics

Supervisor(s)
  • Jacques Corbeil

Development of single cell transcriptomic pipeline coupled to artificial intelligence algorithms

Data Science Health

Gabriel Couture

Research center(s)
  • CRDM
Department(s)
  • Department of Physics, Physics Engineering and Optics
Program(s)

Master’s in Physics

Supervisor(s)
  • Philippe Després

Pipelines d’analyse de la dynamique de l’APS en cancer de la prostate

Data Science Health

Sam Chandavong

Research center(s)
  • CERVO
Department(s)
  • Department of Computer Science and Software Engineering
Program(s)

Master’s in Computer Science

Supervisor(s)
  • Nicolas Doyon
  • Simon Duchesne

Multi-level interface for visualisation of medical data (AI in medecine)

Health Machine Learning

Catherine Bouchard

Research center(s)
  • CeRVIM
  • CRDM
Department(s)
  • Department of Computer and Electrical Engineering
Program(s)

Ph.D. in Electrical Engineering

Supervisor(s)
  • Christian Gagné
  • Flavie Lavoie-Cardinal

Biomedical image generation across modalities with Generative Adversarial Networks

Computer Vision Health Machine Learning

Pierre-Luc Ayotte-Nadeau

Research center(s)
  • CERVO
  • CRDM
Department(s)
  • Department of Biochemistry, Microbiology and Bioinformatics
Program(s)

Master’s in Biophotonics

Supervisor(s)
  • Flavie Lavoie-Cardinal
  • Paul De Koninck

Nanoparticle-assisted optical stimulation of synapses

Data Science Health

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