I’m a geospatial data scientist with 7+ years’ experience in advanced remote sensing, LiDAR, GIS and imaging processing. I’m passionate about using geospatial technologies to solve real-world environmental challenges and bring geospatial insight into scalable, cloud-based solutions. 
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I recently completed a Ph.D. in Geography with a certificate in GIS and Spatial Analysis, where I developed data-driven methods to quantify forest canopy complexity and ecosystem processes using LiDAR and hyperspectral imagery. Currently, I am a postdoctoral researcher applying machine learning and terrestrial laser scanning (TLS) to map forest canopy structure and leaf traits, and to understand their interactions with climate across diverse U.S. forest sites. I am committed to continuously expanding my skill set to deliver high-impact, data-driven environmental research.
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I specialize in:
· Large-scale environmental data integration
· LiDAR and multi-/hyper-spectral image analysis
· GIS-based decision support tools for ecology and sustainability
· Cloud-based spatial analytics​
 
Explore my portfolio of research projects, spatial analysis/tools, and data products built with Python, R, GEE, and cloud platforms.
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Feel free to reach out for collaborations, data-driven projects, or coffee chats!