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Xin Lan

Xin Lan
  • Ph.D.
  • Department of Geography, Environment, and Spatial Sciences

Areas of Interest

water resources, hydrology, machine learning, remote sensing, coupled human and natural systems

Research Synopsis

My research spans water resources, hydrology, machine learning, remote sensing, and coupled human-natural systems. Leveraging a strong interdisciplinary foundation, I strive to tackle critical water challenges using advanced technologies and innovative approaches. With a Bachelor's degree in Marine Sciences from the China University of Geosciences (Beijing) and a Master's in Earth and Environmental Engineering from Columbia University, I investigate long-term trends in lake water temperatures across the United States using process-guided deep learning models, which integrate physical principles with data-driven methods to enhance predictive accuracy and interpretability.