I’m an ecologist who spent the last decade working across government and research spaces to connect data, policy, and on-the-ground conservation. I’ve led cross-sector teams, launched statewide and national initiatives, and built tools that make ecological insight more usable for real decisions. I also serve as graduate faculty and have led national-scale spatial modeling efforts supporting large conservation programs.

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I started TEAL to expand what’s possible when methods are open, workflows are reproducible, and training is built for the people doing the work. My focus sits at the intersection of remote sensing, machine learning, spatial modeling, and practical decision support—helping partners plan, monitor, and evaluate conservation outcomes at landscape scales.

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I advocate for projects that modernize conservation science: transparent, tech-enabled, field-ready, and designed to serve long-term ecological integrity.