Ke Tang

Ke received her bachelor’s degree from the College of Life Sciences at Sichuan Normal University in 2020 and completed her Ph.D. in Bioinformatics at Tongji University in 2026. She has developed two computational tools for single-cell omics analysis including SCRIP, which uses scATAC-seq to infer transcriptional regulator activity and reconstruct cell state–specific gene regulatory networks, and MetroSCREEN, which uses scRNA-seq to infer tumor microenvironment metabolic states and identify associated regulators. Her research focuses on three areas including (1) building a predictive framework for metabolic–epigenetic regulatory axes using single-cell multi-omics to link regulatory programs to cell fate, state transitions, and disease progression; (2) applying this framework to lung cancer immunotherapy datasets to study tumor microenvironment remodeling, immune state changes, and immunotherapy response and resistance; and (3) developing an agent-based system to automate and intelligently assist key steps in single-cell and spatial multi-omics analysis, including preprocessing, annotation, regulatory inference, interpretation, and visualization.