FPS FACULTY

Fan Pan

Fan Pan

Chair Professor

MB, Ph.D

Email:  fan.pan@siat.ac.cn

Dr. Fan Pan is the Co-director of Center for Cancer Immunology, Director of the Department of Biopharmaceutical Sciences, and Chair-Professor of Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences. After obtained his PhD degree from the Chinese Academy of Preventive Medicine in 1996, Dr. Pan pursued his postdoctoral fellowship training in several prestigious institutions including Beijing Medical University, University of California at Davis and Massachusetts Institute of Technology (MIT).

He joined the faculty of Johns Hopkins University School of Medicine in 2001, and was promoted to associate professor in 2016 at its Sidney Kimmel Comprehensive Cancer Center. Dr. Pan is a renowned immunologist. He has been working in the tumor immunology field for more than 20 years, and contributed to this field significantly. His research interest focuses on elucidating the development, linkage stability and function of T cell subtypes, especially Regulatory T cells (Treg) and Th17 cells, two crucial cellular populations important for immune regulation and immune pathologies, respectively. He has published more than 50 papers and 10 review articles in prestigious journals, including Cell, Nature, Science, Immunity, Cancer Discovery, Nature Medicine, PNAS and Nature Review of Immunology.

Research areas

The molecular mechanisms governing the differentiation and function of CD4+ T cells; regulatory T cells (Treg) biology and its roles in the control of autoimmunity, tumor immunity, and infection diseases; novel therapeutics to treat cancer, autoimmune diseases and other inflammation-related diseases including metabolic disorders. To address these questions, the laboratory employs a wide range of experimental techniques including traditional biochemical and molecular biological analyses; genetic approaches including conventional and conditional gene targeting and transgenesis in mice; mass spectrometry; large scale gene expression analyses and bioinformatics.