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

Fousseni Sama

Department(s)
  • Department of Social and Preventive Medicine
Program(s)

Master’s in Biostatistics

Supervisor(s)
  • Alexandre Bureau

Étude comparative des pôles cis-régulateurs observés au niveau des données cellulaires agrégées et des données unicellulaires

Data Science Health Life Sciences

Tasnime Touil

Research center(s)
  • CRDM
Department(s)
  • Department of Animal Sciences
Program(s)

Ph.D. in Animal Sciences

Supervisor(s)
  • Éric Paquet

L’intelligence artificielle appliquée à l’analyse de la composition fine du lait

Data Science Life Sciences Machine Learning

Alexis Lebrun

Research center(s)
  • CeRVIM
  • CRDM
Department(s)
  • Departement of Chemistry
Program(s)

Ph.D. in Biophotonics

Supervisor(s)
  • Flavie Lavoie-Cardinal
  • Denis Boudreau

Super-resolved surface enhanced raman spectroscopy of cellular permeability

Computer Vision Data Science Health Life Sciences

Hesam Hafezalseheh

Department(s)
  • Department of Information and Decision Systems
Program(s)

Ph.D. in Biostatistics

Supervisor(s)
  • Marzia A. Cremona
  • Aida Eslami

Multivariate and functional data analysis applications to Omics data

Data Science Health Life Sciences

Isabelle Bourdeau-Julien

Department(s)
  • School of Nutrition
Program(s)

Ph.D. in Nutrition

Supervisor(s)
  • Frédéric Raymond

Gut microbiota defines metabolite response to diet

Data Science Health Life Sciences

William Leclerc

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

Master’s in Computer Science

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

Unsupervised deep learning approaches for bacterial phenotype detection

Data Science Health Life Sciences Machine Learning

Meredith Elizabeth Gill

Department(s)
  • School of Nutrition
Program(s)

Master’s in Nutrition

Supervisor(s)
  • Frédéric Raymond

Production de molécules neuroactives par des bactéries intestinale

Health Life Sciences

Pathé Conte

Department(s)
  • Department of Information and Decision Systems
Program(s)

Master’s in Biostatistics

Supervisor(s)
  • Marzia A. Cremona

Implementation of an R package for motif discovery in functional data

Data Science Life Sciences

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

Pengmin Wang

Research center(s)
  • CRDM
Department(s)
  • Department of Animal Sciences
Program(s)

Ph.D. in Animal Sciences

Supervisor(s)
  • Claude Robert
  • Éric Paquet

Long coding RNAs in early development

Data Science Life Sciences

Jacquelin Labrecque

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

Ph.D. in Computer Science

Supervisor(s)
  • Brahim Chaib-draa

Artificial intelligence applied to precision livestock farming

Data Science Life Sciences

Antoine Bodein

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

Ph.D. in Molecular Medicine

Supervisor(s)
  • Arnaud Droit

MultiOmics Integration prostate par des approches bioinformatique

Data Science Life Sciences

Baptiste Bauvin

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

Apprentissage automatique multivues en sciences de la vie

Life Sciences Machine Learning

Jennifer Philion

Research center(s)
  • CRDM
Department(s)
  • Department of Animal Sciences
Program(s)

Master’s in Animal Sciences

Supervisor(s)
  • Édith Charbonneau
  • Éric Paquet

Impact de l’alimentation lactée et des performances pré-sevrages sur la productivité des vaches en première lactation

Life Sciences

Ousmane Magassa

Research center(s)
  • CRDM
Department(s)
  • Department of Animal Sciences
Program(s)

Master’s in Animal Science

Supervisor(s)
  • Édith Charbonneau
  • Éric Paquet

Study of calf behavior as a function of milk replacement consumption

Life Sciences

Léonie Laflamme-Michaud

Research center(s)
  • CRDM
Department(s)
  • Department of Animal Sciences
Program(s)

Master’s in Animal Sciences

Supervisor(s)
  • Édith Charbonneau
  • Éric Paquet

Impact de la consommation d’aliments lactés sur les performances de croissance et la programmation épigénétique des génisses laitières

Life Sciences

Félix Huot

Research center(s)
  • CRDM
Department(s)
  • Department of Animal Sciences
Program(s)

Master’s in Animal Sciences

Supervisor(s)
  • Rachel Gervais
  • Éric Paquet

Détection de l’acidose ruminale chronique grâce à une méthode noninvasive utilisant les profils en acide gras du lait

Life Sciences

Nicolas Blais

Research center(s)
  • CIRRELT
  • CRDM
Department(s)
  • Department of Mechanical Engineering
Program(s)

Master’s in Mechanical Engineering

Supervisor(s)
  • Nadia Lehoux
  • Claude-Guy Quimper

Outil d’aide à l’ordonnancement : Cas d’études dans le secteur alimentaire

Life Sciences Operations Research

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