Teaching

Course Instructor

Data Science for Public Policy - University of Tokyo | April-July 2025 Adjunct Lecturer

• Re-designed data science coursework for master’s level public policy and economics students.
• Teach applied research skills covering project design, data ingestion, visualization, and statistical methods.
• Accommodate students with no programming or statistics knowledge.

Data Science Seminar Series - University of Maryland | 2 semesters Guest Lecturer

• Established and led weekly seminars on data science topics.
• Covered data wrangling, visualization, machine learning, web scraping, and API usage.

Teaching Assistant

Quantitative Aspects of Public Policy - University of Maryland | 4 semesters Teaching Assistant (Professor Alec Worsnop)

• Taught hypothesis testing and regression analysis for the school’s flagship quantitative course.
• Provided hands-on instruction using R, Python, and Stata, utilizing recorded lectures and GitHub.

International Development Economics - University of Maryland | 5 semesters Teaching Assistant (Professor Susan Parker)

• Instructed graduate students in development economics with a focus on empirical methods.
• Guided research projects using R, Python, and Stata.

Guest Lectures

Financial Institutions and System | Iegor Vyshnevskyi | Sogang University

• Delivered a master’s level lecture on the applications of AI and machine learning in finance, including a coding exercise using scikit-learn and pandas.

ML/AI and Big Data in Central Banking | Iegor Vyshnevskyi | Sogang University

• Presented a master’s level lecture on the use of machine learning, AI, and big data in central banking, which featured a coding exercise using scikit-learn and pandas.

Global Leadership | Misato Nakagawa | Musashino University

• Provided a guest lecture on AI literacy, unpacking the technology behind Large Language Models (LLMs) with a coding exercise using open-source transformer models.