An associate researcher at the Aerospace Information Research Institute, Chinese Academy of Sciences, specializing in deep learning–based remote sensing image interpretation. Trained in applied mathematics, with strong foundations in partial differential equation theory, numerical simulation, and scientific computing. Research focuses on hyperspectral and remote sensing image analysis using advanced deep learning models, including graph neural networks and Transformer architectures. Has led nationally funded projects and served as a key contributor to multiple national-level research programs. Authored numerous SCI-indexed journal papers, holds several authorized patents, and contributed to an academic monograph in hyperspectral remote sensing, with research recognized by a national science and technology award.