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I received my PhD in Statistics from University of Waterloo in 2025.
From 2025-2026, I completed an NSERC Postdoctoral Fellowship with Prof. Erica Moodie at McGill University.
I am interested in methodological developments for Network Meta-Analysis (NMA), which is a method used to estimate the relative efficacy or safety of multiple treatments by synthesizing data from multiple studies. In particular, I am interested in developing robust methods that can provide causally-interpretable results from synthesizing both randomized and observational studies, personalized models that compare treatments based on an individual's characteristics, and methods for effectively summarising and communicating NMA results.
I am also interested in developing statistical approaches for improving the quantification of methane emissions from the oil and gas industry. For example, I have developed Bayesian models for the measurement error associated with methane quantification technologies, and an interpretable framework for estimating methane emissions based on aerial survey data.
- ASA Outstanding Statistical Application Award (2026)
- NSERC Postdoctoral Fellowship (2025)
- ASA Health Policy Statistics Student Paper Award (2022)
I am interested in supervising Master's students who are interested in causal inference, Bayesian modelling, and/or network meta-analysis.
I am also available to supervise individual undergraduate projects through MA489.