Jeff Wu

Jeff Wu 2020

Jeff Wu is the recipient of the 2020 Monie A. Ferst Award. 

C. F. Jeff Wu is a Professor and Coca Cola Chair in Engineering Statistics at the School of Industrial and Systems Engineering, Georgia Institute of Technology. He was elected a Member of the National Academy of Engineering (2004), and a Member (Academician) of Academia Sinica (2000). A Fellow of the American Society for Quality (ASQ), of the Institute of Mathematical Statistics, and of the American Statistical Association. He received the COPSS (Committee of Presidents of Statistical Societies) Presidents’ Award in 1987, which was given to the best researcher under the age of 40 per year and was commissioned by five statistical societies. He also received the COPSS Fisher Lecture Award in 2011 and the Deming Lecture in 2012. He has won numerous awards, including Honoree of the 2008 Quality and Productivity Research Conference, the Shewhart Medal (2008) from ASQ, Pan Wenyuan Technology Award (2008), Class of 1934 Distinguished Professor Award and Sigma Xi Monie A. Ferst Award both at the Georgia Institute of Technology in 2020. He was the 1998 P. C. Mahalanobis Memorial Lecturer at the Indian Statistical Institutes. He gives the inaugural Akaike Memorial Lecture in 2016, which is sponsored by the Japan Statistical Society and the Institute of Statistical Mathematics, Tokyo.  He received the 2017 Box Medal from ENBIS. He is an Honorary Professor at several institutions, including the Chinese Academy of Sciences. He received an honorary doctor degree of mathematics at University of Waterloo. 

He was formerly the H. C. Carver Professor of Statistics and Professor of Industrial and Operations Engineering at the University of Michigan, 1993-2003 and the GM/NSERC Chair in Quality and Productivity at the University of Waterloo in 1988-1993. Before Waterloo, he taught in the Statistics Department at the University of Wisconsin from 1977-1988. He got his BS in Mathematics from National Taiwan University in 1971 and Ph.D. in Statistics from the University of California, Berkeley (1973-1976).

His work is widely cited in professional journals as well as in magazines, including a feature article about his work in Canadian Business and a special issue of Newsweek on quality. He has served as editor or associate editor for several prestigious statistical journals like Annals of Statistics, Journal of American Statistical Association, Technometrics, and Statistica Sinica. Professor Wu has published more than 185 research articles in peer review journals. He has supervised 50 Ph.D.'s, out of which about two-thirds are teaching in major research departments in statistics/engineering/business in US/Canada/Asia/Europe. Among them, there are 22 Fellows of ASA, IMS, ASQ, IAQ, and IIE. He co-authors with Mike Hamada the book "Experiments: Planning, Analysis, and Optimization" (Wiley, 3rd Ed, 2021, 716 pages) and with R. Mukerjee the book “A Modern Theory of Factorial Designs” (Springer, 2006).