Dr. Xie studies how to design effective immunotherapy for cancer patients using statistical machine learning methods. He develops robust statistical procedure for high dimensional network models using complex and noisy biological datasets for the inference of association or causal relationship among genes, external phenotypes, and intermediate phenotypes. He also develops a robust sufficient dimension reduction algorithm for high dimensional noisy data which contains outliers. Dr. Xie received a Ph.D. in Statistics, a Ph.D. in Genetics, and an M.S. in Statistics from the University of North Carolina at Chapel Hill. He earned his B.S. in Biological Sciences from Fudan University, located in Shanghai, China.