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 McGill

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)