Qing (Henry) Yang is a remote sensing and hydrologic systems scientist specializing in the development of operational satellite-based flood monitoring and risk assessment frameworks. His work integrates multi-source remote sensing (SAR, optical, altimetry, and satellite precipitation), hydrologic modeling, and AI-driven analytics to translate interdisciplinary science into deployable decision-support systems. Before joining ESSIC, Henry conducted postdoctoral research at the University of Connecticut, the University of Wisconsin–Milwaukee, and Stanford University, following completion of his Ph.D. at Guangxi University, China. He has led efforts to design and operationalize SAR-based flood mapping systems for Near-Real-Time hazard response, contributed to flash flood early warning systems in arid regions, and advanced applications in reservoir operations, dam safety monitoring, and flood insurance risk assessment. His research also explores machine learning approaches to quantify flood impacts on human health and infrastructure resilience in regions including California and India. He was awarded the CIGLR Postdoctoral Fellowship in 2024 and serves as a reviewer for journals such as Nature Sustainability, Remote Sensing of Environment, Journal of Hydrology, and the journal of Geomatics, Natural Hazards and Risk.