Teaching Philosophy

My teaching philosophy is rooted in empowering students to tackle real-world challenges by developing data-driven insights and geospatial data science. I aim to guide students in leveraging novel datasets and emerging technologies to understand and address critical issues related to sustainable development, climate adaptation, and natural hazard risk management. Students will explore computational modeling of natural hazards, learn to map earth informatics and intelligence using advanced geospatial data science and GeoAI, and develop skills in building intelligent decision-making support for complex systems under uncertainty. My goal is to foster critical thinking and practical application, enabling students to translate complex spatial data into actionable insights that promote resilience and proactive adaptation in our built and natural environments.

Teaching Experience

Spring 2024
Graduate Student Instructor
LDARCH/ESPM C289: Applied Remote Sensing (UC Berkeley)

Received the 2024 Outstanding Graduate Student Instructor award.

Fall 2022
Lead Instructor
GEOG/LDARCH C188: Geographic Information Systems (UC Berkeley)

Designed and delivered full GIS course. Received teaching score of 6.311/7.

Fall 2021
Graduate Student Instructor
GEOG/LDARCH C188: Geographic Information Systems (UC Berkeley)
Spring 2021
Head TA
457.542: Advanced Surveying (Seoul National University)
Spring 2021
Head TA
457.205: Introduction to Geospatial Engineering (Seoul National University)
Fall 2020
Head TA
457.539: Advanced Remote Sensing: VHR Imagery (Seoul National University)
Fall 2020
Head TA
457.402: Remote Sensing (Seoul National University)
Spring 2020
Head TA
457.544: Satellite Image Interpretation (Seoul National University)
Spring 2020
Head TA
457.205: Spatial Informatics and Systems (Seoul National University)
Spring 2020
TA
Leadership for Civil Engineers (Seoul National University)