David Glas

Climate Science • Behavioral Psychology • Data Architecture

David operates at the intersection of behavioral psychology, climate science, and automated data architecture. With a Master’s in Climate Change and Society from North Carolina State University and a background in Psychology from UNC Wilmington, David views environmental data through a dual lens: the rigorous requirements of the physical sciences and the human-centric reality of behavioral strain.

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 seemed to spend 80% of their time fighting fragmented spreadsheets rather than analyzing results.

David is a Databricks-certified Data Analyst and is one of the few GARP Sustainability and Climate Risk (SCR) certification holders worldwide. He founded Piedmont Climate Lab to handle the technical heavy lifting—designing automated "Medallion" pipelines that move data from raw environmental telemetry to audit-ready, research-validated datasets. Whether engineering proprietary heat-stress validation engines like the GREEN2 and STEM cores or developing custom statistical GUIs for epidemiologists, David’s goal is simple: to automate the tedious so that experts can focus on keeping communities and workers safe.


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

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 specialized 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) 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.

Current Research & Engineering

Epidemiological Statistical GUI: Developing a JavaScript-based interface for high-density statistical analysis, specifically designed for environmental health research teams.

Human-Centric Thermal Modeling: Engineering proprietary cores (GREEN2, BURN, STEM) to calculate high-resolution Globe Temperature and WBGT for physiological strain modeling.