Biography

Dr. Salley's research focuses on developing equitable infrastructure systems and services within urban environments to enhance community resilience, specifically in the context of disaster and crisis management. Her work explores applications of cutting-edge technologies such as Artificial Intelligence (e.g., Natural Language Processing) and centers on understanding societal systems and addressing ethical considerations, with a particular focus on vulnerable populations. Employing a transdisciplinary, sociotechnical approach, she leverages mixed methods techniques for data analysis and problem-solving.

Previously, she was a Schmidt AI in Science Postdoctoral Fellow in the Michigan Institute for Data & AI in Society at the University of Michigan. She received her Ph.D. in Civil Engineering from Georgia Tech, her M.S.E. in Civil Engineering from Johns Hopkins, and her B.S. in Fire Protection Engineering from the University of Maryland. Her overarching goal is to foster innovation, advance responsible research practices, and create a lasting positive impact on society.