Tianrui Zhou

Tianrui received his bachelor’s degree in Bioinformatics from Soochow University in 2023. His research aims to uncover intrinsic principles of intracellular RNA organization directly from molecular coordinates, without relying on predefined compartments or marker-based assumptions. By integrating geometry-aware graph modeling, adaptive clustering, and scalable representation learning, he develops algorithms that transform spatial transcriptomics data into quantitative models of subcellular architecture. His long-term goal is to establish a unified computational framework for discovering, comparing, and mechanistically interpreting subcellular spatial organization across cells, tissues, and disease conditions.