Professor Liang Chen is a professor and doctoral supervisor at the School of Medicine, Shanghai University. He is a Shanghai University Weichang Scholar (Level 3), a member of the National Overseas High-level Talent Youth Program, the head of a major project of the National Natural Science Foundation of China, and a Shanghai Overseas High-level Talent. He holds a master’s degree in data science/computer science from the University of California, Berkeley, and a Ph.D. from Duke University. From 2017 to March 2021, he conducted postdoctoral research at Stanford University in the United States and received a postdoctoral grant from the Cancer Research Institute in the United States. He has been conducting in-depth exploration in interdisciplinary fields such as medicine, immunology, and bioinformatics, mainly studying the recognition specificity of T-cell receptors in infections, tumors, and autoimmune diseases; identifying antigen-specific T cells through systems biology methods; and developing new T-cell therapy strategies for solid tumors. His representative results have been published in top international medical and immunology journals such as Science, Signal Transduction and Targeted Therapy, Nature Immunology, and the Journal of Immunology.
Professor Liang Chen is a professor and doctoral supervisor at the School of Medicine, Shanghai University. He is a Shanghai University Weichang Scholar (Level 3), a member of the National Overseas High-level Talent Youth Program, the head of a major project of the National Natural Science Foundation of China, and a Shanghai Overseas High-level Talent. He holds a master’s degree in data science/computer science from the University of California, Berkeley, and a Ph.D. from Duke University. From 2017 to March 2021, he conducted postdoctoral research at Stanford University in the United States and received a postdoctoral grant from the Cancer Research Institute in the United States. He has been conducting in-depth exploration in interdisciplinary fields such as medicine, immunology, and bioinformatics, mainly studying the recognition specificity of T-cell receptors in infections, tumors, and autoimmune diseases; identifying antigen-specific T cells through systems biology methods; and developing new T-cell therapy strategies for solid tumors. His representative results have been published in top international medical and immunology journals such as Science, Signal Transduction and Targeted Therapy, Nature Immunology, and the Journal of Immunology.