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2026 - 2029 CRT 31: Statistical Inference in Survey Sampling with Machine Learning Methods Read More
National Region
2026 - 2029 CRT 30: Collaborative Innovations in Statistical Learning for Next-generation Drug Discovery Read More
National Region
2025 - 2027 Jake Spertus Will Work on Methodologies for “Detection of Offline and Online Change-points with Applications in Public Health and Finance” Read More
National Region
2025 - 2027 Ruixuan Zhao Will Be Engaged in “Discovering Causal Patterns in Network-linked Data through Bayesian Networks” Read More
National Region
2025 - 2027 Marouane Il Idrissi Will Seek to Unlock the “Explainability and Interpretability of Black-box Models” Read More
National Region
2025 - 2027 Chong Gan Will Explore “Novel Statistical Models for Survival and Count Outcomes Using a Copula-based Approach and Their Applications in Health Research” Read More
National Region
2025 - 2028 CRT 29: Statistical Methodologies and Computational Tools to Identify Microbial Correlates of Canadian Bee Gut Health Read More
National Region
2025 - 2028 CRT 28: Managing Data Complexities in Electronic Health Records: Statistical Strategies for Enhanced Learning Read More
National Region
2025 - 2028 CRT 27: Fast, Distributed Bayes for Everyone Read More
National Region
2024 - 2026 Evan Sidrow Will Explore “Fine-scale And Functional Mapping Of Brain Imaging Genetics, And Aging” Read More