Turning data into value.

Led R&D, engineering, and product to turn satellite-based forest monitoring into four flagship customer products, and ran the proprietary models at scale — millions of hectares — to deliver for major corporate clients on a two-week turnaround. Advised the CEO quarterly on market requirements and set the R&D roadmap to meet them.

Led the modeling behind carbon credit issuance under the California Air Resources Board and the American Carbon Registry.

Geospatial data lead on a bankable-assets platform seeking to expose public infrastructure to capital markets, across both the backend data and the frontend experience.

Built the framework for quantifying and managing carbon-credit uncertainty, with a working reference implementation.

Drafted medium-term fiscal plans and trained provincial officials in budget planning.

Legally mandated economic analysis of policy scenarios for the US Fish and Wildlife Service, Homeland Security, the National Park Service, and the EPA.

Lead or co-lead author on five production ML algorithms — preprocessing, training, inference, and validation on holdout data and pseudo-replicates — and on four Algorithm Technical Documents recording methods and measured performance.

Delivered validation against airborne lidar to hit mission milestones, working with engineers at NASA Goddard, and built forest monitoring and growth forecasting systems for the states of Maryland and Delaware.