Teaching
Teaching
Macroeconomics from the principles level to the first‑year Ph.D. sequence, together with applied courses in Python, forecasting, and machine learning for economic research.
Kyoto University
2026 – present
- Macroeconomics 2Undergraduate · マクロ経済学２Undergraduate
- Machine Learning in Macroeconomic AnalysisGraduatePh.D.
Osaka University
2022 – 2026
- Basic Ideas of Macroeconomicsマクロ経済学の考え方Undergraduate
- Special Seminar: Macroeconomic Analysis using PythonUndergraduate
- Special Lecture: Data Analysis using Machine LearningUndergraduate
- Macroeconomics IPh.D.
- Special Lectures in Economics: Machine Learning in Economic ResearchPh.D.
Keio University
2019
- Advanced Macroeconomic TheoryPh.D.
University of Arkansas
Walton College of Business · 2014 – 2022
- Macroeconomic Theory IFirst‑year Ph.D.ECON 6313
- Macroeconomic Theory IIFirst‑year Ph.D.ECON 6323
- Macroeconomic TheoryIntermediate macroeconomicsECON 3133
- Business Forecasting with PythonUpper‑level undergraduateECON 4753
Washington University in St. Louis
2013 – 2014
- Introduction to Political Economy: MacroeconomicsEC 104
- Introduction to MacroeconomicsEC 1021
For students My approach to research is to test macroeconomic phenomena with microdata and bring the evidence into quantitative models. If you are interested in combining data, theory, and policy questions — AI and skills, labor shares, household insurance — you are welcome to get in touch.