- 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)
Machine Learning and Statistical Frameworks for Synthetic Data Generation, Mediation Analysis, and Association Modeling in Cancer Research
Wei Xu · University Health Network
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Extreme Electrodynamics and Plasma Physics of Neutron Stars
Christopher Thompson · University of Toronto
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Learning and Distilling Unified World Models
Nicholas Rhinehart · University of Toronto
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Novel statistical methods for genomic data analysis
Xuekui Zhang · University of Victoria
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Decoding Cellular Dynamics in Complex Diseases with Deep Generative AI for In-Silico Therapeutics
Jun Ding · McGill University
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Designing Sustainable Energy Materials through Advanced Computational Modeling and Machine Learning
Kulbir Ghuman · Institut National de la Recherche Scientifique
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Learning from Experience
Richard Sutton · University of Alberta
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Ro-vibrational spectra, rate constants and scattering cross sections.
Tucker Carrington · Queen's University
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Molecular profiling of Advanced Gynecologic Cancers
Melica Brodeur · McGill University
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Computational and experimental R&D based on molecular modeling and machine learning for metal beneficiation and advanced sorbents to achieve low-cost, efficient direct air capture systems
Faïçal Larachi · Université Laval
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
GPU/AI/ML for Health-Centric Urban Microclimate Resilience in Canada
Liangzhu Wang · Concordia University
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Hybridization controlled nanomagnets and Artifical Spin Glasses
Johan Van Lierop · University of Manitoba
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Advancing selection in farmed animals with genomics and machine learning/deep learning
Younes Miar · Dalhousie University
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Leveraging machine learning and large-scale brain data for cognitive and clinical neuroscience
Karim Jerbi · Université de Montréal
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Computational Modelling of Quantum Materials
Erik Sorensen · McMaster University
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Multi-disciplinary/Multi-fidelity Aerodynamics Modelling
Éric Laurendeau · Polytechnique Montréal
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Caribou ecogenomics: historical and contemporary genetics across the Canadian distribution
Paul Wilson · Trent University
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Massive Star Interiors in 3D: From Stellar Pulsations to Planetary Geodynamics
Falk Herwig · University of Victoria
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Coherent Elastic neutrino Nucleus Scattering with the Ricochet experiment
Ziqing Hong · University of Toronto
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Understanding and Steering Reasoning in Large Reasoning Models for Scientific Discovery
Hongyu Guo · University of Ottawa
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
High-fidelity simulation of turbulent combustion for clean energy production and transportation
Bruno Savard · Polytechnique Montréal
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Direct numerical simulations of turbulent multi-scalar mixing
Laurent Mydlarski · McGill University
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Quantum Molecular Dynamics
Pierre-Nicholas Roy · University of Waterloo
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Improving Performance of Large Language Models in GPU Confidential Computing
Gururaj Saileshwar · University of Toronto
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Méthodes Numériques pour les Sciences (MeNuS)
Camille Coti · École de Technologie Supérieure
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Sample-Efficient Reinforcement Learning with Modular Models
Martha White · University of Alberta
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Agentic Vulnerability Detection for Autonomous Software Security Analysis
Mohammad Tayebi · Simon Fraser University
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
An optimization approach to multi-species modeling of visual systems
Shahab Bakhtiari · Université de Montréal
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Simulation and Analysis of High-Speed Compressible Flows
Craig Johansen · University of Calgary
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Normative models of structure-function relationship in human brain networks
Bratislav Misic · McGill University
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Dynamic earthquake rupture and slow slip processes
Yajing Liu · McGill University
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Data-Driven Exploration-Impacts of climate change on hydro-meteorological variables
Chandra Rupa Rajulapati · University of Manitoba
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Numerical Uncertainty in Neurodata Science
Tristan Glatard · Concordia University
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Integrative Computational and Experimental Strategies for Targeting SARS-CoV-2 Main Protease and Mitochondrial PARL
Joanne Lemieux · University of Alberta
2026–2027 · grant · Resource Allocation Competition (RAC): Research Platforms and Portals (RPP)
21st Century Infrastructure for Indigenous Languages
Antti Arppe · University of Alberta
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Application of detailed human cortical microcircuit models in mental health and aging
Etay Hay · Centre for Addiction and Mental Health
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Explainable and Biologically Informed AI for Single-Cell Multi-modality Biology
Xin Tang · University of British Columbia
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Neural Field and Diffusion Methods for Computer Vision and Astronomy
Kwang Moo Yi · University of British Columbia
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Climate, past, present and future: water, clouds, and aerosols
Colin Goldblatt · University of Victoria
2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Towards Inclusive Multilingual Speech and Language Technologies
Jian Zhu · University of British Columbia