ABOUT

Geospatial Data Scientist · quantitative ecologist | PhD

Hi there!

I’m a geospatial data scientist and quantitative ecologist passionate about turning complex environmental data into actionable insights. My work sits at the intersection of remote sensing, geospatial analytics, machine learning, and ecology — building end-to-end spatial workflows that turn raw remote sensing datasets into decision-relevant outputs.

I hold a Ph.D. in Geography with a certificate in GIS and Spatial Analysis, where I developed data-driven methods to quantify forest canopy structure and ecosystem processes at scale. As a postdoctoral researcher, I use terrestrial laser scanning and ecosystem modeling to understand how forest structure influences ecosystem productivity and resilience — work that directly informs forest monitoring and land management under environmental change.

I bring both the analytical rigor of a researcher and the problem-solving mindset of a data scientist, with 7+ years of experience working across Python, R, Google Earth Engine, and cloud platforms to ship results that matter.

Open to: full-time roles · consulting · collaborations in geospatial data science, environmental tech, and remote sensing.