- Grants since 2016
- 2 687
- Awarded, last 5 years (where amounts are published)
- —
- Funded works, last 5 years
- 4 096
- Funded works, all time
- 4 109
Grants
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Apprentissage profond efficace en énergie avec applications en télécommunications
François Leduc-Primeau · École Polytechnique
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Nonequilibrium physics of signaling and spatial organization at the cellular scale
Aidan Brown · Toronto Metropolitan University
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Cloud Feedbacks in Global Climate Models: Diagnosis, Processes and Impacts
Ivy Tan · McGill University
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Relating hippocampal pathways to human learning
Michael Mack · University of Toronto
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Empirically Understanding Deep Learning with Theory
Danica Sutherland · University of British Columbia
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Design and Analysis of Next-Generation Systems for Aerospace and Marine Engineering Applications
Artem Korobenko · University of Calgary
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Scalable Fully-Discrete Entropy Stable High-Order Methods
Siva Nadarajah · McGill University
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Ecoulements de Surface pour la Protection des RIves, du Littoral : érosion et inondation (ESPRILE
Damien Pham Van Bang · Institut National de la Recherche Scientifique
2023–2026 · grant · Resource Allocation Competition (RAC): Research Platforms and Portals (RPP)
Hébergement de la plateforme Érudit - Coalition Publica, FCI #42572
Vincent Larivière · Université de Montréal
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Theoretical Chemical Design with Machine Learning: Model Development and Applications
Farnaz Heidar Zadeh · Queen's University
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Computational Elucidation of the Mechanisms and Properties of Biocatalysts
James Gauld · University of Windsor
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Very-Large-Scale Direct Numerical Simulation of Turbulent Spots in Aerospace Engineering Applications
Xiaohua Wu · Royal Military College of Canada
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Multiscale investigations of moisture transport in building materials and in the built environment
Dominique Derome · Université de Sherbrooke
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Multiscale Computational Modeling of High-performance Structural Materials and Novel Nanomaterials towards Low-emission Economy
Jun Song · McGill University
2023–2026 · grant · Resource Allocation Competition (RAC): Research Platforms and Portals (RPP)
MERIDIAN - Marine Environmental Research Infrastructure for Data Integration and Application Network
Christopher Whidden · Dalhousie University
2023–2026 · grant · Resource Allocation Competition (RAC): Research Platforms and Portals (RPP)
Computing Resources for the DUNE Experiment
Nikolina Ilic · University of Toronto
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Guiding medicine through genetic studies of heart and blood diseases
Guillaume Lettre · Université de Montréal
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
ICEBEAR VHF E-region radar data storage
Glenn Hussey · University of Saskatchewan
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Deep models for NLP applications
Jian-Yun Nie · Université de Montréal
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Alternative Data Models for Banking and Insurance Analytics
Cristian Bravo · Western University
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Biogeochemical projections for the North Atlantic and Arctic Oceans
Katja Fennel · Dalhousie University
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Machine learning methods for genomic data that elucidate gene regulation, genome organization and drug resistance
Maxwell Libbrecht · Simon Fraser University
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Solar System stability as a test bed for General Relativity
Hanno Rein · University of Toronto
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Genetic and epigenetic mechanisms of gene regulation
Jacques Drouin · Université de Montréal
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Determining the genetic and environmental factors associated with metabolic phenotypes across Canada
Philip Awadalla · Ontario Institute for Cancer Research
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Chemodynamical evolution of isolated and interacting galaxies
Hugo Martel · Université Laval
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Integrated QM/SE/MM Modelling to Determine the Structure of [Fe-S] Maquettes
Robert Szilagyi · University of British Columbia
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Human-Microbe Interactions in Health and Disease
Brett Finlay · University of British Columbia
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Language Model-driven Conversational Recommender Systems
Scott Sanner · University of Toronto
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Fundamental and Applied Research in Reinforcement Learning
Doina Precup · McGill University
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
High-definition multi-electrode array analysis of rat and human spinal pain circuitry
Mike Hildebrand · Carleton University
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Atmospheric modelling to coordinate climate, population health, and environmental justice objectives
Amir Hakami · Carleton University
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Characterizing bacteriophage replication cycles during gut perturbations
Corinne Maurice · McGill University
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Electronic structure methods for phonon processes in materials
Michel Côté · Université de Montréal
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Multiomic and integrated analysis of Neurological Disorders
Thomas Durcan · McGill University
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Painless Optimization in Deep Reinforcement Learning
Mark Schmidt · University of British Columbia
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Tracking the emergence and spread of antimicrobial resistance
Robert Beiko · Dalhousie University
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
SRAminer: Enabling petabase-scale genomic data mining of the NCBI SRA database
Andrew Doxey · University of Waterloo
2023–2026 · grant · Resource Allocation Competition (RAC): Research Platforms and Portals (RPP)
Data Storage and Cloud Compute for Machine Learning Applications for Digital Agriculture
Christopher Henry · University of Manitoba
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Learning to use working-memory with multi-task reinforcement learning
Pouya Bashivan · McGill University