Debbie Niemeier

Debbie Niemeier is a Professor in the Department of Civil and Environmental Engineering at the University of California, Davis, within the College of Engineering. Her work bridges engineering, public policy, and environmental justice, focusing on the development of accurate and accessible emissions and urban models for public-sector use.

Her research centers on emissions modeling, environmental health disparities, and urban governance, with a strong emphasis on identifying and mitigating inequitable outcomes related to climate change and transportation. She investigates emergent properties in urban systems that lead to environmental injustice, particularly through spatial analysis of mobile source emissions and improved methods for vehicle emissions inventories.

Dr. Niemeier has received numerous honors, including being named a Fellow of the American Association for the Advancement of Science (AAAS) in 2014 for her contributions to energy and environmental science and policy, a Guggenheim Fellow in 2015 for her foundational work on pro bono service in engineering, and election to the National Academy of Engineering in 2017—one of the highest professional distinctions for an engineer.

• Fellow of the American Association for the Advancement of Science (AAAS), 2014
• Guggenheim Fellow, 2015
• Elected Member of the National Academy of Engineering, 2017

She advises students and leads research initiatives focused on sustainable infrastructure and equitable urban development, though specific advisees are not listed. Her work has informed regulatory guidance and improved the identification of vulnerable populations in environmental planning. She is actively engaged in interdisciplinary research that combines engineering models with social equity considerations.

Dr. Niemeier's lab and research team focus on developing tools for public agencies to assess and address environmental justice concerns in transportation and urban planning. Her group works on integrating formal and informal governance processes into urban models to better reflect real-world decision-making and community impacts.