Jianbang Du, Ph.D. is an Assistant Research Scientist at the Texas A&M Transportation Institute whose work integrates transportation systems, environmental science, and quantitative analysis. With interdisciplinary training in Environmental Toxicology and Industrial and Systems Engineering, he has developed a research portfolio spanning transportation emissions, air quality, environmental modeling, multimodal transportation networks, transportation safety, and data-driven analysis. His work also incorporates big-data analytics, machine learning, and advanced computational methods to address complex transportation and environmental research questions.

His research is motivated by a broader interest in how transportation systems influence environmental quality, health, and public well-being. Drawing on experience in transportation planning, travel demand modeling, and multimodal network analysis, he applies rigorous analytical approaches to real-world challenges involving emissions, mobility, and environmental systems, with an emphasis on generating practical insight for research, planning, and decision-making.

• Transportation Emissions

• Environment Modeling

• Multimodal Transportation Network

• Data Science, Machine Learning, and Big Data Analytics