I’m an economist in training studying how economic shocks propagate—and why the same shock can produce different outcomes across people, firms, and regions.
I currently work as a research assistant at the Bank of Canada, contributing to systemic risk and macro-financial models.
My interests sit at the intersection of economics, computation, and policy.
Previously: Stanford Digital Economy Lab · RBC Capital Markets · Interac.
I have worked with a mix of econometric and computational tools. My experience includes impulse-response analysis, local projections, VAR, quantile regression, difference-in-differences, and instrumental variables, alongside machine learning methods such as random forests.
I primarily use Python, R, and Stata, and have worked with financial and administrative datasets through platforms such as Haver, LSEG Workspace, FAME, and Dealogic. Still adding to the list.
Click any node to explore how each chapter of research grew from the last.
"There is no such thing as an inarticulate idea waiting to have the right words wrapped around it."
My essays are where I think out loud about discomfort, growth, friendship, travel, and the questions that don’t fit neatly into models.
I'm at my best in conversations that cross disciplinary lines — economics and policy, research and practice, rigour and real-world stakes. If you're working on something that fits that description, I want to hear about it.
Research collaborations, policy engagements, speaking invitations, or just a good thread to pull on — reach out.
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