Geospatial Data Scientist
I enjoy synthesizing data and creating visualizations, maps, and tools that translate complex datasets into clear insights and stories. I also like to dabble in predictive and deterministic modeling, work with remotely sensed data, and learn about spatial statistics.
I am an interdisciplinary environmental scientist at heart, however, my research background spans natural disaster and climate resilience, risk modeling, vegetation and forest ecology, and crop and soil systems. I am broadly interested in the social/ecological/infrastructure sectors and am always looking to learn more through the datasets I work with.
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Western Wildfire Resilience Index (WWRI) at The National Center for Ecological Analysis & Synthesis - Developed predictive geospatial indicators of wildfire resilience across the U.S. and Canada using multi-source spatial data and scalable workflows.
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Wildfire Risk to Cultural Heritage (NRHP x FSim) - Quantified wildfire exposure and vulnerability for ~90,000 historic sites in the U.S. using burn probability models and spatial overlays. (Manuscript under review)
- Remote sensing (Sentinel, MODIS, TROPOMI)
- GIS + Geospatial analysis (Python, ArcGIS, R)
- Data Visulalization
- Agro-ecology & sustainable agriculture
- Infrastructure resilience & climate adaptation
- Wildfire hazard, exposure, and risk modeling
- Air quality and environmental health
I’m interested in building data-driven tools that bridge environmental science, infrastructure systems, and policy — especially in the context of climate change, land management, and resilience planning.