Teaching

I enjoy teaching. My teaching spans economics, mathematics, programming, machine learning, and artificial intelligence across undergraduate, postgraduate coursework, and doctoral study. I make rigorous ideas learnable through structure rather than simplification: I motivate the problem, state assumptions clearly, develop the analytical or computational method, and interpret the result. My aim is for students to understand not only how to obtain an answer, but why the method works, when it applies, and whether the result is mathematically and computationally sound and, where relevant, economically meaningful.

Australian National University

QuantEcon and other programmes

Selected teaching evaluations and supporting materials are available to hiring committees on request.

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