Dynamic Programming and Computational Economics

Computational Methods and Dynamic Models in Economics, University of Arizona,  Teaching Assistant/Co-teaching: Spring 2024

Advanced Quantitative Econonomics and Finance with Python, Peking  University HSBC Business School, Co-teaching: Spring 2023, 2024

Econometrics

Econometrics II, University of Arizona, Teaching Assistant: Spring 2019

Econometrics II, University of Tokyo, Teaching Assistant: Fall 2017

QuantEcon

former lead developer (2019-2021)

Involved lecture constructions:

• Transitions in an Overlapping Generations Model

• Likelihood Ratio Processes

• Computing Mean of a Likelihood Ratio Process 

• Bayesian versus Frequentist Decision Rules

• Job Search VII: Search with Learning

• Tax Smoothing with Complete and Incomplete Markets 

• Markov Jump Linear Quadratic Dynamic Programming