2025
2025 Exploratory CRT Awards
Did biodiversity change? Automating data processing pipelines into a user-friendly software tool to assess power in biodiversity monitoring programs
PI: Jennifer Sunday (Associate Professor, Department of Biology)
Building a Canadian Machine Learning-Assisted PFAS Inventory to Guide Public Health, Mitigation, and Remediation Strategies
PI: Sidney Omelon (Associate Professor, Department of Mining and Materials Engineering)
Lights Out: Examining Power Outages and Vulnerability Across Quebec
PI: Grant McKenzie (Associate Professor, Department of Geography)
2025 Proof-of-Concept CRT Awards
BON in a Box
PI: Jory Griffith (GEO BON)
2024
2024 Exploratory CRT Awards
Towards a causal inference framework for understanding microbiome etiology and informing interventions
PI: Tibor Schuster (Associate Professor, Department of Family Medicine)
Developing Analysis Pipelines for Multimodal Digital Data Acquired from Patients At Risk for Psychosis
PI: David Benrimoh (Assistant Professor, Department of Psychiatry)
2024 Proof-of-Concept CRT Awards
Development and integration of Intelligent Personal Assistant platform (IPA) in biomedical high-risk environment (HRE)
PI: Jérôme Waldispühl (Professor, Computer Science)
Updating and retrieving genetic information for plant pangenome assemblies
PI: Martina Stromvik (Associate Professor, Department of Plant Science)
2023
2023 Exploratory CRT Awards
Predicting the local impact of regional extreme weather events in smart cities
PI: Djordje Romanic (Associate Professor, Department of Atmospheric and Oceanic Sciences)
Applications of natural language processing in clinical care at 91Ë¿¹ÏÊÓƵ
PI: Dan Poenaru (Professor, Pediatric Surgery)
Using machine learning and natural language processing to predict real-world consumer decision-making and evaluation
PI: Ross Otto (Associate Professor, Psychology)
Challenges and rewards of developing an intelligent technology for high-risk biomedical environments
PI: Jérôme Waldispühl (Professor, School of Computer Science)
2023 Proof-of-Concept CRT Awards
Developing a deep learning algorithm to improve cancer treatments
PI: James Tsui (Assistant Professor, Department of Radiation Oncology)
