About
What I'm working on
I build geospatial data pipelines and apply machine learning to satellite imagery to understand how land and climate systems are changing. I'm finishing a Master of Environmental Data Science at UC Santa Barbara's Bren School, expected June 2026, alongside a B.S. in Mathematics. My work sits at the intersection of remote sensing, spatial statistics, and reproducible data engineering. Right now that looks like irrigation mapping, national-scale forest change analysis, and cloud-accessible wildfire resilience tools.
Featured Work
Selected projects
LOC Lab
Forest Thermophilization & Disturbance Analysis
National-scale R and Python pipeline linking FIA, IDS, TerraClimate, PRISM, and WorldClim to study how U.S. forests are changing under climate and disturbance.
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WaVeS Lab
Satellite-Based Irrigation Mapping
Python geospatial workflows and segmentation experiments for tracing where irrigation expansion is actually happening across Sub-Saharan Africa.
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NCEAS Capstone
Wildfire Resilience Index R Package
Cloud-accessible wildfire resilience archive and open-source R package work so users can query, subset, and visualize 100+ layers without downloading terabytes locally.
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What I'm Working On