About Me
I am a PhD candidate in Environmental Planning at UC Berkeley, where I research the intersection of GeoAI, natural hazards, and urban resilience. My work integrates computer vision, machine learning, and geospatial modeling to develop solutions for complex socio-environmental systems.
My background includes civil engineering and environmental data science. I build models and tools to inform planning decisions for communities facing wildfire, debris flow, and climate risks.
Education
- PhD in Environmental Planning, UC Berkeley (2026)
Dissertation: Data-Driven Planning for Resilience Against Natural Hazard Risks - MS in Civil & Environmental Engineering, Seoul National University (2021)
Thesis: Local Climate Zone Classification Using Multi-Scale Convolutional Networks - BS in Civil & Environmental Engineering, Seoul National University (2017)
Thesis: Monitoring North Korea’s 4th Nuclear Test Site Using Sentinel-1A DInSAR
Research
My research bridges geospatial data science and environmental planning to enhance the resilience of our built and natural environments against natural hazard risks. I develop intelligent tools that help us better understand, predict, and respond to natural hazards (especially wildfires and post-fire risks) in an era of accelerating climate extremes. Through my research, I aim to develop AI-powered environmental decision support systems to aid scientists, policymakers, and emergency response managers. The nexus where physical modeling, spatial intelligence, and adaptive decision frameworks meet to operationalize climate resilience.
Awards