Feifang Hu
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Feifang Hu | |
|---|---|
| Born | Qiandao-Hu village, Zhejiang, China |
| Alma mater | Hangzhou Normal University, Zhejiang University, University of British Columbia |
| Known for | Response adaptive randomization, Bootstrap methods, Design and analysis of clinical trials |
| Awards | Pierre Robillard Award (1995), CCAS Dean's Research Chair Award (2018) |
| Scientific career | |
| Fields | Statistics |
| Institutions | George Washington University, University of Virginia, National University of Singapore |
| Thesis | Relevance Weighted Smoothing and a New Bootstrap (1994) |
Feifang Hu is a statistician and professor of statistics at George Washington University. Hu is known for his research in Bootstrap methods, adaptive design and the associated inference in clinical trials, statistical issues in personalized medicine, and the design and analysis of A/B tests. He has made significant contributions to the design and analysis of randomized clinical trials, particularly in the development of the theory of response adaptive randomization.
Early life and Career
Hu was born in Qiandao-Hu village, a town near Hangzhou in the Zhejiang province of China. He received a bachelor's degree in mathematics from Hangzhou Normal University in 1985 and a Master's degree in Statistics from Zhejiang University in 1988. Hu earned his Ph.D. in Statistics from the University of British Columbia in 1994. His Ph.D. thesis, entitled "Relevance Weighted Smoothing and a New Bootstrap," received the Pierre Robillard Award from the Statistical Society of Canada in 1995.
Following a one-year postdoctoral fellowship at the University of Waterloo, Hu joined the National University of Singapore in 1995. He moved to the University of Virginia in 2001 and became a faculty member at the George Washington University in 2013. Hu has served as a member of Data and Safety Monitoring Committees for several clinical trials and been invited to provide statistical consulting for a number of companies listed on the Fortune 500.
Achievement
Hu received the National Science Foundation Career Awards (2004-2010)and was elected a fellow of the American Statistical Association and of the Institute of Mathematical Statistics in 2009. Hu is the author of a groundbreaking textbook "Theory of Response-Adaptive Randomization", and two influential FDA white papers, "Theoretical Properties of Response-Adaptive Randomization" and "Using Response-Adaptive Randomization in Confirmatory Clinical Trials." He served as associate editor for the Journal of the American Statistical Association (2011-2020), The Annals of Statistics (2007-2012), and Statistics and Its Interface (2007-2016). In 2018, Hu received the CCAS Dean's Research Chair Award from George Washington University for his outstanding research in the design of clinical trials.
References
External links
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