My name is Boyang Zheng. I am a second year master student in the School of Atmospheric Sciences, Nanjing University, and my research interest is the inversion of cloud physical properties using machine learning models combined with satellite observation data, such as MODIS and CERES. My current work is to use deep learning model to predict clear-sky albedo, and then further estimate cloud albedo and cloud radiative effect (CRE). This work holds significant implications for improving our understanding of cloud-climate interactions and enhancing climate models. If you are interested in using machine learning models for satellite inversion and cloud physical process simulation, please feel free to communicate with me.