Dr. Lin Xu is an Assistant Professor in the Department of Population and Data Sciences, the Department of Pediatrics, and a member of the Quantitative Biomedical Research Center (QBRC) and the Harold C. Simmons Cancer Center at UT Southwestern Medical Center. With training in biostatistics and bioinformatics, he has a good understanding of translational research, developing predictive and prognostic biomarkers, and personalized medicine. His primary statistical expertise is in machine learning, algorithm development for processing next-generation sequencing data, prediction model building, and development of data management systems. During his Ph.D. career in the Biostatistics program at Cornell University, He received comprehensive training in integrated analysis of high-dimensional datasets, machine learning, Bayesian modeling and developing bioinformatics algorithms to analyze next-generation sequencing data. During his postdoc career, he received systematic training in clinical medicine.
Since joining UT Southwestern as an Assistant Professor, his research have turned to developing bioinformatics algorithms and deep learning models to identify new disease genes and therapeutic targets for human diseases, as well as development and maintenance of data management systems for genomic and clinical databases. His lab’s research works have been published in a series of high-impact journals, including Nature, Elife, PNAS, Genes & Development, Cell Reports, Nature Communications, Science Immunology, Cancer Research, Nature Machine Intelligence, Circulation Research, Clinical Cancer Research and Developmental Cell, and he has received grant supports from a variety of funding resources, including the National Cancer Institute (NCI), National Heart, Lung, and Blood Institute (NHLBI), National Human Genome Research Institute (NHGRI), Cancer Prevention and Research Institute of Texas (CPRIT), Hyundai Pediatric Cancer Foundation, Children’s Cancer Fund, Rally Foundation, Dysimmune Diseases Foundation and Andrew McDonough B+ Foundation.