As a researcher with rigorous training in computational and experimental approaches for studying pediatric cancer biology, muscle defects and heart diseases, my major research interest is to identify human disease genes, especially potential therapeutic targets and biomarkers. During my Ph.D. career in the Genetics and Genomics program in Cornell University, I received comprehensive training in bioinformatics analysis of high-dimensional datasets, machine learning, Bayesian modeling and statistics. During my postdoc career, I received systematic training in clinical medicine and cancer biology. After that, I joined the Department of Population & Data Sciences at UT Southwestern Medical Center as an Assistant Professor. Since then, I have focused on developing Bayesian modeling and machine learning approaches to identify new disease genes and therapeutic targets for pediatric cancers and other human diseases. My lab’s research works have been published in a series of high-impact journals, including Nature, Elife, Cell Reports, Science Immunology, Cancer Research, Proceedings of the National Academy of Sciences (PNAS), Genes & Development, Developmental Cell, and Clinical Cancer Research.

Research Interest

  • pediatric cancer, muscle defects, heart diseases, diabetes


Featured Publications LegendFeatured Publications

Development of a Data Model and Data Commons for Germ Cell Tumors.
Ci B, Yang DM, Krailo M, Xia C, Yao B, Luo D, Zhou Q, Xiao G, Xu L, Skapek SX, Murray MM, Amatruda JF, Klosterkemper L, Shaikh F, Faure-Conter C, Fresneau B, Volchenboum SL, Stoneham S, Lopes LF, Nicholson J, Frazier AL, Xie Y, JCO Clin Cancer Inform 2020 Jun 4 555-566
Tumor neoantigenicity assessment with CSiN score incorporates clonality and immunogenicity to predict immunotherapy outcomes.
Lu T, Wang S, Xu L, Zhou Q, Singla N, Gao J, Manna S, Pop L, Xie Z, Chen M, Luke JJ, Brugarolas J, Hannan R, Wang T, Sci Immunol 2020 Feb 5 44