Yang Xie's Lab
Our lab focuses on improving treatments for cancer by applying computer science and statistical methodologies to analyzing high-throughput biological data. New models and tools are currently in development to assist the investigation of disease mechanisms and their related diagnostic innovations.
Guanghua Xiao's Lab
Our lab focuses on improving treatments for cancer by applying computer science and statistical methodologies to analyzing high-throughput biological data. New models and tools are currently in development to assist the investigation of disease mechanisms and their related diagnostic innovations.
Ling Cai's Lab
Dr. Ling Cai's research interests include bioinformatics, data integration, cancer metabolism, inborn errors of metabolism, and lung neoplasm.
Lin Xu's Lab
Dr. Lin Xu's Lab focuses on 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 system for genomic and clinical databases.
Tao Wang's Lab
Dr. Wang's research revolves around using state-of-the-art quantitative approaches to study the implications of tumor heterogeneity for tumorigenesis, metastasis, prognosis, and treatment response, primarily focused on kidney cancer (renal cell carcinoma, RCC). Dr. Wang is also affiliated with the Harold C. Simmons Comprehensive Cancer Center, along with the Center for the Genetics of Host Defense. He is also the Bioinformatics co-Leader of the Kidney Cancer Program of UT Southwestern and serves as the Data Analytics Core Co-Director within the UT Southwestern SPORE for kidney cancer research.
Xiaowei Zhan's Lab
Dr. Zhan’s group focuses on statistical genetics and statistical computations. We develop statistical models to understand medical genetics questions. We also contribute easy-to-use and efficient software package to research communities.
Ruichen Rong's Lab
Dr. Ruichen Rong's research interests include biomedical imaging, digital pathology, and large language models.
Peifeng Ruan's Lab
Dr. Peifeng Ruan's research interests focus on developing statistical methods and computational algorithms for multi-omics data with applications in complex human diseases, such as heart disease and cancer.