Dr. Li's research focuses on gene-environment interactions in cardiometabolic disease and chronic kidney disease (CKD), providing crucial insights for precision health. 

The Ruan Lab focuses its research on developing statistical methods and computational algorithms for multi-omics data with applications in complex human diseases.

We are interested in taking bioinformatics and data integration approaches to gain insights into cancer metabolism, inborn errors of metabolism, and lung neoplasm.

Our research revolves around using state-of-the-art bioinformatics and biostatistics approaches to study the implications of tumor immunology for tumorigenesis, metastasis, prognosis, and treatment response in a variety of cancers.

Dr. Bedimo studies strategies for optimally managing drug-resistant HIV patients, analyzing metabolic abnormalities in HIV patients, and studying the effects of HCV co-infection. 

Dr. Vega and co-workers have discovered three other causes of high LDL. First, she found that some patients have abnormal LDL particles that cannot be removed from circulation because the abnormal LDL does not recognize the receptors. 

Dr. Cowell has built a research program focused on the development of bioinformatics and computational biology methods for studying the immune system and infectious diseases.  

Zhan Lab's mission is to advance medical genetics research through cutting-edge statistic models and computationally efficient software tools