I help mission-driven organizations use geospatial data and machine learning to protect land, reduce risk, and monitor the impacts of climate change.
I have nearly a decade working at the intersection of earth observation, ML, and climate strategy — with conservation organizations, public agencies, and enterprise clients who need technical depth and strategic clarity.
Ecosystem services modeling
Mapping what landscapes actually do — flood attenuation, carbon storage, urban cooling, habitat quality, stormwater retention. Analysis built to hold up scientifically and communicate clearly to the people making funding and land decisions.
Park access & equity analysis
Automated feature extraction and access gap mapping at national scale, including ParkServe work with the Trust for Public Land. ML pipelines that turn imagery into park investment intelligence — reproducibly and at speed.
Wildfire risk & landscape monitoring
Satellite-based risk assessment, burn severity mapping, and vegetation monitoring for utilities, land managers, and agencies. Built for operational use — analysis designed for real decisions, not just reports.
Food systems & working lands
Spatial modeling of agricultural landscapes, land-use change, and supply chain geography across the Northeast — for planners, regional food initiatives, and conservation organizations working at the agriculture-land nexus.
Geospatial strategy & architecture
Technical strategy for organizations building or scaling geospatial programs — workflow design, data infrastructure, ML pipeline architecture, and go-to-market planning. From early-stage program buildout to enterprise-scale systems.
Background
Past work spans enterprise remote sensing at scale — supporting clients including state and federal agencies, electric utilities, and Fortune 500 companies through roles at Planet and Orbital Insight — alongside applied geospatial and ML advisory for mission-driven clients including the Trust for Public Land.