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
Received the 2024 Outstanding Graduate Student Instructor award.
Designed and delivered full GIS course. Received teaching score of 6.311/7.