Prof. MCKEAGUE Ian Wray

Professor Ian McKeague received his B.A., M.A. and M.Math from the University of Cambridge, and a Ph.D. in statistics from the University of North Carolina at Chapel Hill in 1980. He was on the faculty of the Department of Statistics of the Florida State University, 1980-2004. He was on sabbatical leave at the Mathematical Sciences Research Institute of the University of California at Berkeley, and then at the Laboratoire de Modélisation et Calcul of the Université Joseph Fourier, Grenoble, France, 1991-1992. He served as Chair of the FSU Statistics department, 1996-99, and was named the Ralph A. Bradley Professor of Statistics at FSU in 2000. He has been a Professor of Biostatistics at Columbia University since 2004. In 2021 he joined City University of Hong Kong as Head and Chair Professor in the Department of Biostatistics. His research interests include post-selection inference, empirical likelihood, order-restricted inference, non-standard asymptotics, statistical methods in physical oceanography, functional data analysis, inference for stochastic processes, survival analysis, competing risks models for HIV/AIDS data, Markov chain Monte Carlo and Bayesian methods, efficient estimation for semiparametric models, missing data, counting processes and spatial point processes.

Professor McKeague has served as an associate editor of the Annals of Statistics for seven years, the Journal of the American Statistical Association for 11 years, and is currently serving on the editorial boards of the Journal of the American Statistical Association, Statistical Science, Statistical Inference for Stochastic Processes, and the International Journal of Biostatistics. During 2020-2023 he is serving as Co-Editor of the Journal of the American Statistical Association. He is a fellow of the Institute of Mathematical Statistics and a fellow of the American Statistical Association.

Post-selection inference, functional data analysis, empirical likelihood, non-standard asymptotics, statistical methods for trajectory analysis in life course epidemiology, survival analysis, Bayesian inverse problems in physical oceanog- raphy, statistical aspects of quantum physics and relativity, Markov chain Monte Carlo, competing risks models for HIV/AIDS data, inference for stochastic processes, simultaneous inference, efficient estimation for semiparametric models, counting process and martingale methods in survival analysis.

• Fellow of the Institute of Mathematical Statistics
• Fellow of the American Statistical Association

• Journal of the American Statistical Association, Co-Editor, 2020–2023; Associate Editor, 1993–1996, 2011–2019
• The Annals of Statistics, Associate Editor, 1989–1995
• Statistical Science, Associate Editor, 2017–present
• International Journal of Biostatistics, Associate Editor, 2005–present
• Statistical Inference for Stochastic Processes, Associate Editor, 1998-present
• ESAIM: Probability and Statistics, Associate Editor, 2000–2005