- 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): Research Platforms and Portals (RPP)
The Neuro's Virtual Integrated Patient Platform
Guy Rouleau · McGill University
2026–2027 · grant · Resource Allocation Competition (RAC): Research Platforms and Portals (RPP)
The continuous growth of UseGalaxy.ca
Pierre-Étienne Jacques · Université de Sherbrooke
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Rigorous Reanalysis of Metagenomic Cancer Sequencing Data
Carino Gurjao · Université de Montréal
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Understanding Cancer Biology using Multimodal Data Analytics & AI
Pinaki Bose · University of Calgary
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Rare Decay Experiments
Douglas Bryman · University of British Columbia
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Sample Efficiency and Robust, Multi-task Learning for the Real-World
Glen Berseth · Université de Montréal
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
EIC Canada: DRAC Resources for ePIC Detector Production Campaigns
Wouter Deconinck · University of Manitoba
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Large-eddy and direct simulations of non-equilibrium turbulent flows
Ugo Piomelli · Queen's University
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Numerical Simulations of Laser-Plasma Instability Control for Laser Fusion Energy
Jason Myatt · University of Alberta
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
High-Resolution Climate and Hydrodynamic Modeling for Compound Flood Risk Assessment Across Canada
Mohammad Reza Najafi · Western University
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Computational methods for advanced brachytherapy
Jean-François Carrier · Université de Montréal
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Computational Intelligence for Physical Systems
David Meger · McGill University
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Multimodal brain imaging of gender diverse populations.
Doug Vanderlaan · University of Toronto
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Efficient Vision Language Models
Marco Pedersoli · École de Technologie Supérieure
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Large-scale generative modelling for small molecule mass spectrometry
Hannes Rost · University of Toronto
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Realizing the full potential of personalized resistant starch adjuvant therapy in pediatric inflammatory bowel disease
Alain Stintzi · University of Ottawa
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Computational Infrastructure for Solving and Simulating Structural Models
Michael Boutros · University of Toronto
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
High-performance computing of complex environmental flows
Qi Zhou · University of Calgary
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Foundation Models for Optimization: Economic Rationality and Beyond
Kevin Leyton-Brown · University of British Columbia
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Research and Application of Multimodal Large Language Model
Xingyu Li · University of Alberta
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Neural OS: Simulating Operating Systems using Diffusion Models
Yuntian Deng · University of Waterloo
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Computational Modeling of Aerosol Transport and Deposition in Human Airways for Optimized Inhaler Design
Leila Pakzad · Lakehead University
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
The impact of land cover and aerosol particles on climate: from past to future
Francesco Salvatore Rocco Pausata · Université du Québec à Montréal
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
GPU-Accelerated Simulations of Microplastics Transport in Ocean Turbulence
Mona Rahmani · University of British Columbia
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Faster and Easier-to-tune Methods for Modern Machine Learning
Mark Schmidt · University of British Columbia
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Large Eddy Simulation (LES) Analysis of Tall Buildings with Interference Effect
Oya Mercan · University of Toronto
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Optimizing Genotoxic Therapies in Metastatic Prostate Cancer Through Nutritional Modulation: Investigating a High-Fat Diet as a Therapeutic Adjuvant
David Labbé · McGill University
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Deep Learning for 3D geometry processing
Noam Aigerman · Université de Montréal
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
MATHEMATICAL MODELING & HEALTH ECONOMIC OF INFECTIOUS DISEASES
Marc Brisson · Université Laval
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Conception de nouveaux scanners, nouvelles technologies et nouveaux algorithmes en imagerie médicale
Jean-Baptiste Michaud · Université de Sherbrooke
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
First-principles quantum modeling of electro-thermal transport in materials
Jesse Maassen · Dalhousie University
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Neuro-AI of active vision and applications
Suresh Krishna · McGill University
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Conformational Family Analysis for Membrane Permeable Cyclic Peptides
Robert Batey · University of Toronto
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
A Deep Learning Approach for Virtual Cell Modeling
Radhakrishnan Mahadevan · University of Toronto
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Filamentary hierarchies: multiscale galactic simulations for star and planet formation
Ralph Pudritz · McMaster University
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Towards Global Optimal and Interpretable Models for Grid-scale Battery Management
Yankai Cao · University of British Columbia
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
The SuperCDMS (Cryogenic Dark Matter Search) Experiment
Miriam Diamond · University of Toronto
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Advanced Methods for the Computational Modeling of 3D Integrated Circuits and Cardiovascular Diseases
Piero Triverio · University of Toronto
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Machine Learning for Smart Communities
Katarina Grolinger · Western University
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Advancing Viromics: Building pipelines and tools for viral ecology
Ann Gregory · University of Calgary
