Chenyu Hou is an assistant professor and macroeconomist with eight years of research and teaching experience, currently based at Simon Fraser University after appointments at CUHK Shenzhen and a PhD from UBC. His work focuses on expectation formation and learning in macroeconomics and monetary economics, blending applied empirical work with computational methods. He specializes in using deep learning to uncover non-linear behaviors in agents’ expectations and to solve high-dimensional projection problems, bringing modern ML tools to classical macro questions. Trained at Fudan, UT Austin, and UBC, he combines rigorous theoretical grounding with hands-on quantitative skills and a keen interest in methodological innovation. An understated strength is his ability to translate complex model-driven insights into tractable empirical strategies that inform policy-relevant questions.
8 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Economics, Master of Science - MS, Economics at The University of Texas at Austin
Bachelor's degree, Economics, Bachelor's degree, Economics at Fudan University
Doctor of Philosophy - PhD, Economics, Doctor of Philosophy - PhD, Economics at The University of British Columbia
Contributions:10 commits, 10 pushes, 14 comments in 8 months
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Chenyu Hou - Assistant Professor at Simon Fraser University