I run a top computational immunology lab in UT Southwestern Medical Center. Machine learning, statistics, medicine, and biology are the four integral pillars of my interdisciplinary research program. We have been working on mining public and in-house high throughput data to achieve a deeper understanding of the mechanisms of various human diseases, with a heavy emphasis on immunological diseases, and their diagnosis, prognosis, and treatment. These approaches include, for example, modeling of T/B cell antigens and T/B cell receptor sequences (molecular level), profiling immune cell infiltrates in bulk tissues and analyses of single cell profiling (scRNA-seq, spatially resolved transcriptomics, and CyTOF) data (cellular level), and integrative analyses of genomics data with electronic medical record data (patient level). The ultimate goal of our lab is to impact the prognosis and treatment of patients suffering from various diseases, through modeling of high dimensional data, especially genomics data.