Welcome to Xiangning Chu's website

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I am a research associate at the Laboratory for Atmospheric and Space Physics in Boulder, CO.

My area of research is space physics, using data analysis, machine learning, numerical simulation, and theoretical analysis to investigate the plasma processes in the Earth’s magnetosphere.

My research interests include: Magnetospheric substorms, geomagnetic storms, radiation belts, machine learning application for science discovery.

selected publications

  1. chu2019identifying.jpg
    Identifying STEVE’s magnetospheric driver using conjugate observations in the magnetosphere and on the ground
    Xiangning Chu, David Malaspina, Bea Gallardo-Lacourt, and 8 more authors
    Geophysical Research Letters, 2019
  2. chu2023distribution.jpeg
    Distribution and evolution of chorus waves modeled by a neural network: The importance of imbalanced regression
    Xiangning Chu, Jacob Bortnik, Wen Li, and 5 more authors
    Space Weather, 2023
  3. chu2024imbalanced.jpg
    Imbalanced regressive neural network model for whistler-mode hiss waves: Spatial and temporal evolution
    Xiangning Chu, Jacob Bortnik, Xiao-Chen Shen, and 6 more authors
    Journal of Geophysical Research: Space Physics, 2024
  4. chu2025imbalanced.jpg
    Imbalanced Regression Artificial Neural Network Model for Auroral Electrojet Indices (IRANNA): Can We Predict Strong Events?
    Xiangning Chu, Lucas Jia, Robert L McPherron, and 2 more authors
    Space Weather, 2025