Dr. Christin Salley’s dissertation revolved around mitigating natural hazards through crisis detection and communications, enhancing accessibility to emergency management response systems. Her research aimed to ultimately assess social systems related to disasters and develop proactive measures to enhance community resilience. She earned her PhD in Civil Engineering (with a concentration in Construction and Infrastructure Systems) from the Georgia Institute of Technology, her MSE in Civil Engineering from Johns Hopkins University, and her BS in Fire Protection Engineering from the University of Maryland.
She was also personally passionate about pathways of engineering (investigating pursuits of engineering at different educational levels) and desired to train, mentor, and teach the next generation of engineers while conducting research that benefited various communities. In her free time, she enjoyed spending time with family and friends, traveling, and trying new restaurants.
During the Schmidt AI in Science Postdoctoral Fellowship, she focused on developing equitable infrastructure systems and services within urban environments to continue studying how to enhance community resilience. Specifically, her work centered on understanding societal systems and addressing ethical considerations—particularly concerning vulnerable populations—through investigations of disaster and crisis management using AI. Employing a transdisciplinary and sociotechnical approach, she integrated data science methods for information processing and associated analyses. Her overarching goal was to make a positive impact on society through her research, fostering innovation and advancing responsible research practices. She worked under the mentorship of Dr. Sabine Loos (Science Mentor) and Dr. Lu Wang (AI Mentor).
- AI Mentor: Lu Wang, Computer Science and Engineering, College of Engineering
- Science Mentor: Sabine Loos, Civil and Environmental Engineering, College of Engineering