Research

My research sits at the intersection of geospatial artificial intelligence and ecology, developing computational methods to understand how forests and landscapes change and what those changes mean for the planet.

Research Areas

🛰️ ### Forest Disturbance Mapping Automated detection of deforestation, degradation, and recovery using satellite time series and machine learning classifiers.

Change Detection Landsat Sentinel

🌍 ### Landscape Connectivity Modeling how landscape structure and fragmentation affect species movement, gene flow, and ecosystem resilience.

Connectivity Graph Theory

📊 ### Spatial Modeling Developing geospatial machine learning models for ecological prediction, including species distribution models and biomass estimation.

GeoAI Prediction

🌿 ### Biodiversity Assessment Using multi-sensor remote sensing to characterize habitats and predict biodiversity patterns across spatial scales.

Biodiversity LiDAR

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Publications

Publications will be listed here as they become available.

Interested in Collaboration?

I’m always open to collaborations at the intersection of GeoAI and ecology. If you’re working on related problems, feel free to reach out.