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

Samarth Thonta Setty

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

Postdoctoral researcher in Molecular Medicine

Supervisor(s)
  • Arnaud Droit

Identifying the genetic causes of rare diseases using highthroughput bioinformatic approaches

Data Science Health

Afshin Jamshidi

Research center(s)
  • CRDM
Department(s)
  • Department of Information and Decision Systems
Program(s)

Postdoctoral researcher in Operation and Decision Systems

Supervisor(s)
  • Arnaud Droit

Identifications de biomarqueurs lors de l’asterosclerose par des approches d’apprentissage profond (deep learning)

Health Machine Learning

Paul George

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

Postdoctoral researcher in Electrical Engineering

Supervisor(s)
  • Jacques Corbeil

Ecochip development for antibiotic resistance monitoring and soil ecology

Health Internet of Things Life Sciences

Partha Sarati Das

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

Postdoctoral researcher in Electrical Engineering

Supervisor(s)
  • Benoit Gosselin
  • François Laviolette

A multimodal seizure detection artificial intelligence-based smart wear

Health Internet of Things

Mahsa Dadar

Research center(s)
  • CERVO
Department(s)
  • Department of Radiology
Program(s)

Postdoctoral researcher in Medecine

Supervisor(s)
  • Simon Duchesne
  • Richard Camicioli

Machine learning driven small vessel disease lesion segmentation

Health Machine Learning

Tania Cuppens

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

Postdoctoral researcher in Molecular Medicine

Supervisor(s)
  • Arnaud Droit

Elaboration d’approches de détection de variants structuraux à partir de donńees de type Whole Genome Sequencing

Data Science Health

Iman Beheshti

Research center(s)
  • CERVO
Department(s)
  • Department of Radiology
Program(s)

Postdoctoral researcher in Medecine

Supervisor(s)
  • Simon Duchesne

BrainAge patch-based technique

Data Science Health

Elmira Yekani-Khoei

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

Ph.D. in Electrical Engineering

Supervisor(s)
  • Benoit Gosselin
  • François Laviolette

Massive multimodal-sensors data management to predict and monitor epileptic seizures

Data Science Health

Theresa Wiesner

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

Ph.D. in Biophotonics

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

Multi-modal imaging of the plasticity of miniature spontaneous calcium transients in cultured hippocampal neurons

Computer Vision Health

Benjamin Vittrant

Research center(s)
  • CRDM
Program(s)

Ph.D. in Molecular Medicine

Supervisor(s)
  • Arnaud Droit
  • Yves Fradet

Caractérisation du paysage immunologique du cancer de la prostate par des approches bioinformatique

Data Science Health

Prudencio Tossou

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

Ph.D. in Computer Science

Supervisor(s)
  • Mario Marchand
  • Jacques Corbeil
  • François Laviolette

Machine learning implementation in drug discovery

Health Machine Learning

Pier-Luc Plante

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

Ph.D. in Molecular Medicine

Supervisor(s)
  • Mario Marchand
  • Jacques Corbeil

Coupling high throughput Mass spectrometry to machine learning to uncover biomarkers

Health Machine Learning

Émanuel Paré

Research center(s)
  • CRDM
Program(s)

Ph.D. in Molecular Medicine

Supervisor(s)
  • Jacques Corbeil

Tackling metabolic diseases using high throughput mass spectrometry coupled to artificial intelligence algorithms

Data Science Health

Mazid Abiodoun Osseni

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

Ph.D. in Computer Science

Supervisor(s)
  • Jacques Corbeil
  • François Laviolette

Machine learning algorithm for biomarker discovery

Health Machine Learning

Régis Ongaro-Carcy

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

Ph.D. in Molecular Medicine

Supervisor(s)
  • Arnaud Droit

Big data approaches for multi-OMICS analyses

Data Science Health

Seyedadel Moravveji

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

Ph.D. in Mathematics

Supervisor(s)
  • Nicolas Doyon
  • Simon Duchesne

Data Science Health

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)

Master’s in Computer Science

Supervisor(s)
  • Jacques Corbeil
  • François Laviolette

An investigation of structure-based prediction of drug-drug interactions by deep learning

Health Machine Learning

Élina Francovic-Fontaine

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

Master’s in Molecular Medicine

Supervisor(s)
  • Jacques Corbeil

Machine learning applied to high throughput metabolomic

Confidentiality Health Machine Learning

Owen Ferguson

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

Master’s 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

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