My teaching integrates statistics, data science, artificial intelligence, sustainable finance, and impact measurement. I design learning experiences that connect analytical methods with real-world problems, helping students move from data to evidence, decision-making, and meaningful impact.
Teaching Areas
- Statistics & Data Science
- Regression Analysis & Applied Analytics
- AI for Good & Data-informed Decision Making
- Sustainable Finance & Impact Investing
- Impact Measurement: IMM, SROI & IRIS+
Featured Teaching Innovation
ANGEL — Impact Investing Education
An experiential learning model integrating sustainable finance, impact investing, AI, and impact measurement to connect financial returns with measurable social and environmental value.
AI for Good
A progressive teaching series applying AI and data analytics to real-world challenges: Campus → Government → Industry, connecting technical skills with responsible decision-making and social impact.
Selected Teaching Practice Projects
Ministry of Education Teaching Practice Research Program
AI for Good @ Campus: AI-enabled Institutional Research and Data-informed Decision Making (2026–2027)
ANGEL Teaching Strategy: Advancing Impact Investing through Purpose and Profit (2025–2026)
Generative AI and Virtual Financial Laboratory: A Theme-based Learning Approach to Career Anxiety (2024–2025)
Sustainable Financial Literacy Education: Protecting the Planet and Breaking the Cycle of Poverty (2023–2024)
