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Xiaojing Gao is an Assistant Professor in the Department of Chemical Engineering at Stanford University. His research focuses on the design of biological systems and 'smart medicine' aimed at sensing patient states, processing information, and responding appropriately. His innovative work includes creating protein components that minimize crosstalk in human cells and developing robust biomolecular circuits for scalable communication in multicellular consortia. Gao leverages advanced engineering targets, including biomolecules and molecular circuits, to confront fundamental challenges within biomedicine. He has a strong background in neurobiology and cancer therapy, employing quantitative experimental analysis combined with computational simulation. Through his research, he aims to enhance the precision and efficacy of therapeutic modules interfacing physiological inputs and outputs, contributing to non-invasive early disease detection and engineering therapeutic cells.
Stanford University • Stanford, CA
Teaching and conducting research in the Department of Chemical Engineering, focusing on innovative biological and engineering solutions.
The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.