Boyang Zheng is a second-year master's student in the School of Atmospheric Sciences at Nanjing University. His research focuses on the inversion of cloud physical properties using machine learning models combined with satellite observation data — such as MODIS and CERES. Boyang's current work involves applying deep-learning models to predict clear-sky albedo, thereby estimating cloud albedo and the cloud radiative effect (CRE). His work holds significant implications for improving understanding of cloud-climate interactions and enhancing climate models.