معرفی
Augustine Wigle is currently an NSERC Postdoctoral Fellow at McGill University in the Department of Epidemiology, Biostatistics and Occupational Health, supervised by Prof. Erica Moodie. His research focuses on developing statistical methodologies for network meta-analysis and methane emissions quantification to address healthcare and climate challenges.
His educational background includes:
- PhD in Statistics (2025) from the University of Waterloo, supervised by Dr. Audrey Béliveau
- MMath in Statistics (2020) from the University of Waterloo
- HBSc in Mathematical Sciences (2018) from the University of Guelph
Wigle's research spans Network Meta-Analysis and Bayesian statistics for evidence synthesis in clinical trials, alongside environmental statistics for methane emissions quantification. He develops methods for uncertainty quantification, treatment hierarchy ranking, and multi-site data integration, driven by real-world applications in oil/gas emissions and climate change mitigation. His work bridges theoretical innovation with practical impact in public health and environmental science.
His 2022-2025 publications reveal a dual trajectory: advancing network meta-analysis techniques (treatment hierarchies, component models) while creating Bayesian frameworks for methane quantification (sensor data, multi-stage frameworks). This demonstrates consistent methodology development across biostatistics and environmental science, emphasizing robust uncertainty estimation and real-world applicability.
His scientific recognition includes:
- NSERC Postdoctoral Fellowship
Wigle actively contributes to open-source statistical tools, maintaining the BUGSnet R package for Bayesian network meta-analysis while developing poth (treatment hierarchy uncertainty) and methaneInventory (emission inventories). His GitHub-hosted projects foster collaborative methodological advancement in evidence synthesis and environmental monitoring.
