I am currently a postdoctoral researcher at the Institute of Geodesy and Geoinformation (Astronomical, Physical and Mathematical Geodesy), University of Bonn, Germany. I studied at the Information Engineering University (China, 2013-2016), Wuhan University (China, 2016-2020), and the University of Bonn (Germany, Guest student, 2018-2019). I completed my PhD thesis in Geodesy and Geomatics Engineering (2020) at Wuhan University. Since April 2021, I have been working as a postdoc at the Institute of Geodesy and Geoinformation (APMG), University of Bonn.
My research focuses on the application of machine learning techniques to Geodetic and Hydrological studies. I developed a machine learning based approach for reconstructing long-term global terrestrial water storage change (TWSC) and for forecasting near-future (up to one year) freshwater availability from the empirical relationships between several climatic/hydrological variables, such as precipitation or temperature, and satellite observations of land water storages. My research interests also include land surface modelling, investigating climate extremes (drought/flood events), and integration of satellite observations into hydrological models (WaterGAP Global Hydrology Model, WGHM) using an ensemble Kalman filter (EnKF).
I am a member of the WIKI project (Reanalysis/forecast of water storage in Europe via AI). In this project, my job is to assimilate the GRACE and Sentinel-1 satellite data into the Community Land Model (CLM) model by combining deep learning and EnKF aims to generate a high resolution (12 km; 1d) water compartment data set over Europe for both historical period (2003-present) and the near future (up to 12 months lead).