- 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
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Computational Methods for Genome Analysis and Interpretation
Wyeth Wasserman · University of British Columbia
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Computational Resources for Evolutionary Genomics
Ben Evans · McMaster University
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Machine/Deep Learning methods for Remote Sensing
David Clausi · University of Waterloo
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Characterizing the dynamics of bacteriophage ecology in the gut
Corinne Maurice · McGill University
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Hydrogen and Metal Combustion Simulations
Hendrik Nicolai · McGill University
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Earth and Planetary Interiors: Structure, Evolution and Dynamo models
Moritz Heimpel · University of Alberta
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Learning from Large-Scale Text-Image Data in the Era of Foundation Models
José Dolz · École de Technologie Supérieure
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Enhancing the Accuracy and Interpretability of Market Risk Forecasts for Basel 3 Banking Regulation via Deep Learning with Feature Engineering
Fulei Liu · University of Guelph
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Comprehensive Approaches to Logistics Operations Optimization: Enhancing Networks, Operational Efficiency, and Movement Pattern Analysis through Deep Learning
Xin Wang · University of Calgary
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Deflagration to detonation transition in blended hydrogen-natural gas mixtures
Brian Maxwell · University of Ottawa
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Theory and Simulation of Soft Condensed Matter
Richard Bowles · University of Saskatchewan
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Modeling and Monitoring of Northern Lake Ice Using Remotely Sensed Observation
Homa Kheyrollah Pour · Wilfrid Laurier University
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Generative AI for 3D Digital Twins
Manolis Savva · Simon Fraser University
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Convergence Properties of Smoothed Particle Magnetohydrodynamics on the Magnetorotational Instability in Global Accretion Discs
Terrence Tricco · Memorial University of Newfoundland
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Foundation Models for Biomedicine
Bo Wang · University of Toronto
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Data-Driven Fintech Solutions for Enhanced Financial Health
Cristian Bravo · Western University
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Online Learning: Bridging Theory and Practice
Audrey Durand · Université Laval
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Measuring H0 with Strong Lensing and Machine Learning in the LSST Era
Laurence Perreault Levasseur · Université de Montréal
2026–2027 · grant · Resource Allocation Competition (RAC): Research Platforms and Portals (RPP)
NeurON (The Neuro Open Science & Global Health Platform)
Udunna Anazodo · McGill University
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Quantum Effects in Ultra-Cold Collisions and Beyond
Paul Brumer · University of Toronto
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
New approaches to imaging the 3-D resistivity structure of the Earth with magnetotelluric exploration
Martyn Unsworth · University of Alberta
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Faster, Safer, Truer, Deeper: New Methods for (Bio)Molecular Electronic Structure and Their Applications
Paul Ayers · McMaster University
2026–2027 · grant · Resource Allocation Competition (RAC): Research Platforms and Portals (RPP)
Data analysis and simulation for IceCube, high-energy neutrino observatory
Nahee Park · Queen's University
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Cosmological constraints on atomic dark matter from large scale structure in the nonlinear regime
David Curtin · University of Toronto
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Multimodal Intelligence for Therapeutics and Clinical Insight
Pingzhao Hu · Western University
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Very high-resolution climate simulations to study high-impact weather events
Julie Thériault · Université du Québec à Montréal
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Using Brain imaging and genetics databases to understand vulnerability to neurological illness
Alain Dagher · McGill University
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Mapping the effects of gene-disrupting variants on neurodevelopmental traits and disorders
Sébastien Jacquemont · Université de Montréal
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Radio Observation Simulations from Transients to Cosmology in HERA and CHORD
Adrian Liu · McGill University
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Optimisation de formes aérodynamiques pour l'installation d'un moteur dans une cellule d’avion HWB
Patrick Germain · École de Technologie Supérieure
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Accelerating DNN Inference and Training with Learnable Quantizers
Tor Aamodt · University of British Columbia
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
The influence of modifiable risk factors on brain health in aging
Maiya Geddes · McGill University
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Scalable Reinforcement Learning and Mechanistic Interpretability for Early Detection of Alzheimer’s Disease Using Multi-Modal Large Foundation Models
Giuseppe Carenini · University of British Columbia
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Computational Fluid Dynamics for Flow-Structure-Sound Interactions and Multiphase Flow
Peter Oshkai · University of Victoria
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Exploration multi-omique du micro-environnement des tumeurs pédiatriques
Raoul Santiago · Université Laval
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Modeling the Chemistry of Modified DNA and RNA
Stacey Wetmore · University of Lethbridge
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
A Native Database System for Massive GPU Infrastructures
Qizhen Zhang · University of Toronto
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Development of Multiphase and Reactive Chemical Processes
Jan Haelssig · University of Ottawa
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Machine learning for protein and peptide structure modeling and engineering
Philip Kim · University of Toronto
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Aerodynamic Optimization using Scale-Resolving Simulations
Brian Vermeire · Concordia University
