David Glas

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.


Professional Certifications

Sustainability and Climate Risk

Global Assocation of Risk Professionals (GARP)

Data Analyst Associate

Databricks

Principles of ESG and Sustainability for Business

W.P. Carey School of Business, ASU

Education

M.S. Climate Change and Society

2020
North Carolina State University

B.A. Psychology

2016
University of North Carolina Wilmington

Professional Experience

Founder & Technical Lead

2025 – PRESENT
Piedmont Climate Lab
Founded a boutique climate data consultancy focused on climate resilience and data-driven risk assessment. Developed a custom GUI for epidemiological statistical analysis and engineered predictive models for Wet Bulb Globe Temperature (WBGT) and related metrics to mitigate heat-stress risk in outdoor industries.

Sustainability Data Engineer

2024 – 2025
Dick's Sporting Goods
Automated Scope 1 and 3 emissions reporting and developed integrated performance dashboards. Leveraged Databricks to analyze large-scale supply chain data and identify carbon footprint reduction opportunities.

Climate Risk Analyst

2022 – 2024
U.S. EPA | Office of Research & Development
Rebuilt geospatial climate vulnerability assessment tools for critical infrastructure and Superfund sites, synthesizing complex climate models into actionable resilience planning reports.

Graduate Research Assistant

2020 – 2021
North Carolina State University
Contributed to USDA NIFA-funded research regarding nanotechnology, social science, and agricultural resilience. Managed data collection and qualitative analysis for multi-stakeholder emerging technology studies.