I hold an M.Sc. Statistics from the University of Toronto and a B.Sc. Applied Statistics from the University of Lethbridge. Currently, I am working as a Mathematical Statistician at Statistics Canada. Within the Health section of the Methodology branch, I collaborate with other methodologists and statisticians on all steps of the survey process, from frame selection to estimation and dissemination. Most recently, I have been working on sampling allocation scenarios for the Canadian Health Conditions Monitoring Program (CHCMP).

I have experience working with large survey datasets, performing data cleaning, exploration, analysis, modeling, and reporting using tools such as R, SAS, Python, and PowerBI. With my past education, I have a strong statistics background in survey methodology, Bayesian analysis, and machine learning. 

My work is interdisiplinary and I am passionate about applying statistical methods in social science and health contexts to gain insights about our society and inform decision-making.