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?
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How can we solve dynamic economic models faster and more reliably?
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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