I work on macroeconomic dynamics, numerical methods, and the tools economists use to connect them.

How do financial frictions, risk, and inequality interact in macroeconomic dynamics?
How can we solve dynamic economic models faster and more reliably?
How should economists learn computation without losing economic intuition?
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01
Macro-finance, risk, and inequality
Financial frictions, leverage, crises, risky steady states, and international capital flows.
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02
Algorithms for dynamic economic models
Numerical methods, perturbation, time iteration, deep learning, and high-dimensional dynamic models.
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03
Teaching economics through computation
Courses, notebooks, code examples, and exercises that help students understand economics by building and experimenting with models.
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T2M 2026 Conference

Conference

The Theories and Methods in Macroeconomics (T2M) conference recently concluded in Montreal, hosted by HEC Montreal.

Visit t2m.network