David operates at the intersection of climate science, public health, and automated data architecture. With a Master's in Climate Change and Society from North Carolina State University, David views environmental data through a dual lens: the rigorous requirements of the physical sciences and the human-centered reality of who bears the burden when those systems fail.
Throughout his career—including roles at the U.S. EPA rebuilding geospatial vulnerability tools and automating emissions reporting for a Fortune 500 corporation — David realized that high-stakes research often fails not at the hypothesis, but at the "plumbing." Too many teams spend 80% of their time fighting fragmented spreadsheets rather than analyzing results.
David is a Databricks-certified Data Analyst and one of only ~7,000 people worldwide to hold the GARP Sustainability and Climate Risk (SCR) certification. He founded Piedmont Climate Lab to handle the technical heavy lifting—designing automated pipelines that move data from raw environmental telemetry to audit-ready, research-validated datasets.
Recent work includes a heat stress mortality study in Texas demonstrating that a refined WBGT methodology more than doubles the detectable signal of heat-related deaths compared to standard ambient temperature measures—providing the kind of epidemiological evidence that community advocates and policymakers can take into a city council meeting.