Ph.D. Candidate · College of Environment and Design
Graduate Certificate in Geographic Information Science
The University of Georgia · Athens, GA
I am a Ph.D. candidate at the University of Georgia's College of Environment and Design, working with Dr. Rosanna Rivero. My research sits at the intersection of environmental change, coastal ecology, and geospatial science — investigating how sea level rise reshapes coastal forests, wetlands, and urban landscapes across the southeastern United States.
My background spans urban planning, landscape architecture, and multimedia design, giving me a multidisciplinary lens on questions of ecological resilience, connectivity, and spatial justice. I work extensively with LiDAR, remote sensing, and GIS to model environmental futures.
Off the map: I play tennis competitively, collect video game completions the way others collect publications, and find that strategic thinking — whether on a court or in an RPG — sharpens the rigor I bring to science.
Quantifying urban and landscape transformation under varying sea level rise scenarios in the southeastern U.S. Assessing omnidirectional connectivity changes in coastal forests and wetlands, and measuring long-term habitat fragmentation through landscape metric analysis.
Building multi-temporal LiDAR geospatial datasets for high-resolution coastal hazard evaluation. Generating terrain models that track coastal change, erosion dynamics, and inundation risk over time — forming a foundation for resilience planning.
Geospatial analysis of wildfire burn extent and predictive susceptibility modeling in high-risk regions including Maui, Hawaii and California. Integrating satellite imagery, terrain data, and environmental variables to anticipate future risk landscapes.
Bridging urban design and ecological network science — from ecological connectivity analysis in Zhengzhou to rural village revitalization strategies in post-boom China. Investigating how spatial planning can reinforce ecological resilience in rapidly urbanizing regions.
Exploring how large language models and AI systems shape human well-being and environmental awareness. Research includes LLM-driven anxiety symptom alleviation benchmarked against human agents — using multi-modal wearable sensing to bridge physiological signals and AI behavioral insights.
Leveraging AI with novel sensing modalities — radar, audio, and wearables — for continuous monitoring of human physiology, environment, and wildlife. From non-intrusive body composition via UWB radar to cocktail-party-effect authentication, this research embeds intelligence into everyday spaces.
"Understanding how landscapes change under climate pressure — to design more resilient coastal futures."
Research Philosophy