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etullos@che.utexas.edu
512-232-5040
Office Location: GLT 4.110, WPR 3.325
Erin Tullos
Professor of Practice
Research Websites
Center for Energy and Environmental Systems Analysis (CEESA)
Energy Emissions Modeling and Data Lab (EEMDL)
Educational Qualifications
Ph.D., Physical Chemistry, Texas A&M University (2007)
B.A., Chemistry, Texas A&M University (2002)
Courses Taught
CHE 341 Design for Environment
Focus
Air quality and environmental sustainability
Research
Dr. Tullos’s research centers on advancing measurement-informed methods for understanding and reducing methane and other emissions across energy supply chains. Her work integrates direct atmospheric measurements, novel sensing technologies, remote-sensing data interpretation, and emissions modeling to improve the accuracy and transparency of emissions assessments and to inform mitigation strategies grounded in empirical evidence.
Her research also examines ozone formation, regional air-quality impacts, and the role of atmospheric chemistry and chemical kinetics in interpreting observed emission patterns. This includes work on flare combustion efficiency and the factors that influence pollutant formation and destruction under real-world operating conditions.
In addition, she studies how concepts from process safety and reliability engineering can be adapted to incorporate environmental performance, with a focus on identifying system vulnerabilities that lead to unintended emissions and designing operational practices that improve both safety and environmental outcomes.
Collectively, these efforts contribute to the development of standardized tools, datasets, and analytical frameworks that support credible emissions accounting and reporting in both industrial and policy contexts. Her work aligns with broader initiatives to translate high-resolution atmospheric and remote-sensing data into actionable insights for decision-makers.
PUBLICATIONS
Affiliations
Co-Director, Center for Energy and Environmental Systems Analysis
Senior Fellow, Energy and Emissions Modeling and Data Lab