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Feifang Hu Faculty Member

My research mainly focuses on developing new and optimal designs (response-adaptive designs, covariate-adaptive designs) for clinical trials, online A/B testing, causal inference and developing statistical methods for different applications. I am also working on causality analysis in microarray time series data; these analyses can be used to explore the interaction among genes. I have a broad background in both theoretical and applied statistics. As PI or co-Investigator on several previous NSF-funded grants, I had developed several new and efficient adaptive designs for different types of clinical trials. In addition, I successfully collaborated with other researchers, and produced several peer-reviewed publications from each project. In summary, I have a demonstrated record of successful and productive research projects in the area of adaptive design of clinical trials as well as statistical methodology development.

Research Areas

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