Research funder · Canada

Alliance de recherche numérique du Canada

alliancecan.ca

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 Genomics of Environmental and Evolutionary Influences on Genome Variation

Marie-Julie Favé · Concordia University

2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)

Computing Infrastructure for Trustworthy and Cost-Efficient FM-Powered Software Engineering Agents

Zhenming (Jack) Jack · York University

2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track

Plasma turbulence simulations with applications to electric propulsion, material processing, and magnetic fusion

Andrei Smolyakov · University of Saskatchewan

2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track

Astrophysical Transients and Compact Objects

Rodrigo Fernandez · University of Alberta

2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)

Conservation Genomics of Large Mammals

Aaron Shafer · Trent University

2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track

AI models for teravoxel-scale light sheet microscopy and MRI of the rodent brain

Maged Goubran · Sunnybrook Health Science Centre

2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track

Digital-twins of manufacturing and chemical process through matrix-free multiphysics simulations

Bruno Blais · Polytechnique Montréal

2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track

Virtual In Silico Fe-S+C NanoScience Laboratory

Robert Szilagyi · University of British Columbia

2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track

Études génétiques et généalogiques des maladies rares et complexes en lien avec la structure des populations

Simon Girard · Université du Québec à Chicoutimi

2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track

Analysis of naturalistic fMRI for clinical use

Ingrid Johnsrude · Western University

2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track

Developing Representative and Generalizable image analysis tools and models for the study of neurodegenerative disorders

Mahsa Dadar · McGill University

2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track

Bigger, faster, better gene regulatory models

Carl De Boer · University of British Columbia

2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track

Machine Learning for Motion Synthesis and Control

Xue Bin Peng · Simon Fraser University

2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track

Unsourced Random Access and Forward Error Correction for Low-Latency Communications

Dmitry Trukhachev · Dalhousie University

2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)

Numerical Simulation of Unsteady Shock-Wave Interactions

Evgeny Timofeev · McGill University

2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track

Nanophotonic Inverse Design Surpassing 100 Cubic Wavelengths

Sean Molesky · Polytechnique Montréal

2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track

Well-E: A data-driven approach for animal welfare

Abdoulaye Baniré Diallo · Université du Québec à Montréal

2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)

Performant and Available Machine Learning Systems on Cloud

Hamzeh Khazaei · York University

2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)

The Market for Trading Financial Risks

Chay Ornthanalai · University of Toronto

2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)

Efficient Deep Learning: Scalability Across Inference, Training, and Applications

Seokbum Ko · University of Saskatchewan

2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)

Modélisation de la formation des contrails dans le sillage d'un avion : effet des carburants alternatif

François Garnier · École de Technologie Supérieure

2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)

Beyond Accuracy: Explainable Deep Learning for Alzheimer’s Disease Detection Using 3D Image Data

Yang Liu · Wilfrid Laurier University

2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track

Numerical Simulation of Stratified Turbulence in the Atmosphere

Michael Waite · University of Waterloo

2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track

Reducing the Carbon Footprint of Cloud Applications through Computation Offloading

Mohammad Shahrad · University of British Columbia

2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track

Deep Reinforcement Learning to Guide Domain-Independent Dynamic Programming

Chris Beck · University of Toronto

2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)

Generalist Language Agents for Complex Interactive Environments

Victor Zhong · University of Waterloo

2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)

Using C. elegans to understand the complexity of the genome architecture and genetic interactions with translation potential to rare diseases

Maja Tarailo-Graovac · University of Calgary

2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)

Exoplanets through high-resolution time-series spectroscopy

David Lafrenière · Université de Montréal

2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)

Alzheimer's disease big data repository and analyses

Sylvia Villeneuve · McGill University

2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track

Discovery and Design of Solid Electrolyte Materials and Stable Interfaces for Batteries using ab-initio and Machine Learning Methods

Linda Nazar · University of Waterloo

2026–2027 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)