Strategic Research Initiatives
Demonstrated Impact Across Critical Sectors
PermafrostGPT
High-resolution predictive modeling for northern infrastructure resilience. Machine learning models trained on 40+ years of ground temperature data to forecast permafrost degradation at 1-km resolution.
Impact: Projected savings: $8–12B in infrastructure protection across NWT and Yukon
Partners: Natural Resources Canada, GNWT, Inuit Tapiriit Kanatami
Technical Specifications
Model: Transformer-based spatiotemporal forecasting (1.2B parameters)
Data: GSC borehole network, MODIS LST, ERA5 reanalysis, infrastructure GIS layers
Resolution: 1 km spatial, daily temporal, 10-year forecast horizon
Compute: Training: 500 GPU-hours on Narval; Inference: real-time edge deployment
MapleFusion
Accelerated materials discovery for fusion reactor components. AI-driven simulation reduces magnet and plasma-facing material design cycles from 5 years to 6 months.
Impact: Enabling pathway to commercial fusion by 2035
Partners: General Fusion, Kyoto Fusor, National Research Council
Technical Specifications
Model: Graph neural network for crystal structure prediction + DFT surrogate
Data: Materials Project, AFLOW, proprietary plasma exposure datasets
Resolution: Atomic-scale simulation with 10⁶ candidate materials screening
Compute: Multi-fidelity active learning on 2,000+ GPU cluster
Pan-Canadian Cancer Moonshot
Federated learning across provincial cancer registries while maintaining strict data governance. Privacy-preserving AI identifies novel immunotherapy targets without centralizing patient data.
Impact: 3 novel therapeutic targets identified; $2B+ projected healthcare savings
Partners: CIHR, BC Cancer Agency, Ontario Health
Technical Specifications
Model: Federated ensemble of genomic transformers with differential privacy (ε=1.0)
Data: 10M+ patient records across 6 provincial registries (federated, never centralized)
Resolution: Single-nucleotide variant detection, HLA typing, neoantigen prediction
Compute: Secure multi-party computation across provincial data enclaves
Critical Minerals Initiative
AI-powered geological analysis combining satellite imagery, geophysical surveys, and historical data to identify economically viable rare earth and lithium deposits.
Impact: 10 new deposit candidates; $15B+ potential export revenue
Partners: Natural Resources Canada, Indigenous Resource Network
Technical Specifications
Model: Multi-modal fusion: hyperspectral CNN + geophysical inversion network
Data: Landsat-9, ASTER, airborne magnetics, gravimetry, drill core archives
Resolution: 30m surface, 500m subsurface, continental coverage
Compute: Distributed processing of 50TB imagery + 3D geological modeling
Borealis Climate Twin
Digital twin of Canada's Arctic and boreal ecosystems. Daily 1-km resolution forecasts for sea ice extent, wildfire risk, and ecosystem changes through 2035.
Impact: $5B+ annual reduction in climate-related disaster costs
Partners: Environment and Climate Change Canada, Polar Continental Shelf Program
Technical Specifications
Model: Physics-informed neural network coupled with CanESM5 downscaling
Data: RADARSAT Constellation, MODIS, VIIRS, CFS reanalysis, station networks
Resolution: 1 km spatial, hourly to daily temporal, ensemble forecasting
Compute: Real-time assimilation on 10 PB data lake with streaming inference
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