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Jida Wang is a broadly trained physical geographer and hydrologist whose research focuses on the dynamics of surface water abundance, particularly in lakes, reservoirs, and wetlands. His work investigates how water stores serve as sentinels, regulators, and integrators of climate change, as well as how different lake types interact with river systems, the cryosphere, carbon cycles, and human water management practices. Dr. Wang's research employs innovative integrated methods, combining multi-sensor satellite remote sensing, situ measurements, hydrological modeling, and artificial intelligence/machine learning to enhance understanding of these complex interactions.
GRE is optional for admission to all graduate programs in Statistics. Full status admission requires higher language scores than limited status.