Education

• Ph.D. Water Resources and Hydropower Engineering, in School of Water Resources and Hydropower Engineering, Wuhan University, China (2018-2023).

  Dissertation: Simulation, characteristic analysis, and utilization of multi-scale spatiotemporal data of soil water and groundwater

• Visiting student at the Helmholtz Centre for Environmental Research – UFZ, Germany (2022-2023).

• B.S. Hydrology and Water Resources Engineering, in School of environmental studies, China University of Geosciences, China, 2014-2018

Work experience

• 2024-present: Post-doctoral Scholar
  MHPI Lab, Department of Civil and Environmental Engineering
  Penn State Univeristy, State College, PA

Academic Awards

2021 Academic Innovation Scholarship for Postgraduate Students of Wuhan University

2021 Academic Scholarship for Postgraduate Students of Wuhan University

2020 Guanghua scholarship from Wuhan University

Professional Skills

• Hydrological modeling: HYDRUS, MODFLOW, soil water balance models, HBV, W3RA, Multiscale Parameter Regionalization (MPR), RAPID
• Statistical and analytical methods: STL decomposition, principal component analysis (PCA), independent component analysis (ICA), artificial neural networks (ANN), random forest (RF), long short-term memory networks (LSTM), convolutional neural networks (CNN)
• Geospatial computing: Google Earth Engine, ArcGIS, QGIS, GDAL
• Machine learning and differentiable modeling: PyTorch, TensorFlow, scikit-learn, differentiable programming, differentiable hydrological models (δHBV), surrogate-based modeling
• Programming: Python, MATLAB, Fortran, R, Linux shell scripting, JavaScript
• Hydrometeorological data and platforms: ISMN, CRNS, SMAP, SWOT, China Institute of Geo-Environmental Monitoring, USGS, GRACE, GLDAS, CAMELS, CPC, MODIS, NOAA, SoilGrids