DMH + UCLA PREVENTION CENTER OF EXCELLENCE
Dr. Zhe Fei’s research focuses on developing novel statistical methods for big data, meaning extremely large data sets with complex structures and high dimensional n, p, or both. The applications include, but are not limited to, genetics, epigenetics, metabolomics, Electronic Health Records, etc. High dimensional inference refers to the uncertainty measures of the statistical models, including asymptotic convergence, confidence intervals and hypothesis testing, which possesses unique challenges that have been drawing substantial research attention in recent years. Dr. Zhe Fei is an Assistant Professor-In-Residence in the Department of Biostatistics at UCLA. He also has a wide range of interests and collaborations in machine learning, cancer research, survival analysis, drug abuse, among others.