With over 12 years of experience in the environmental and geospatial field, I work at the intersection of climate resilience, geospatial analysis, and artificial intelligence as both a strategic leader and technical subject matter expert. I’ve led the design and implementation of machine learning algorithms that improved urban forestry canopy segmentation accuracy by 35%, developed AI powered disaster response tools (including post hurricane satellite imagery and automated roof tarp detection), and created novel unsupervised learning approaches for earth observation data. These solutions help organizations interpret environmental change with greater precision and act faster in the face of climate risk.
Across roles in state government, higher education, and consulting, I’ve consistently built data systems and sustainability programs from the ground up, managing multi million dollar decarbonization portfolios, architecting GIS based decision support tools, and integrating Python, LLMs, and automation to scale impact. My expertise spans climate resilience planning, remote sensing and geospatial analytics, AI integration, program and stakeholder management, and sustainability strategy.
I’m motivated by a simple mission: use data and technology to drive meaningful environmental outcomes. I thrive in collaborative, cross functional environments where science, policy, and engineering meet, and where translating complex technical insights into clear, actionable decisions is critical to success.
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