Guanghua Xiao's Lab
Dr. Guanghua Xiao's research 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.
Yang Xie's Lab
Dr Yang Xie's research 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 research 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.
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.
Wenqi Shi's Lab
Dr. Wenqi Shi's research focuses on developing AI systems for healthcare, with an emphasis on large language models, agentic AI, clinical informatics, personalized medicine, tool/retrieval-augmented learning, reasoning, and data-centric AI.
Xiaowei Zhan's Lab
Dr. Xiaowei Zhan’s research 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.