Ming-Hui Chen, University of Connecticut
Dr. Ming-Hui Chen is Professor, Director of the Statistical Consulting Services, Department of Statistics, University of Connecticut, Storrs, Connecticut, USA. Chen received his Ph.D. in Statistics in 1993 from Purdue University.
Dr. Chen has published over 230 publications in mainstream statistical and medical journals, including Annals of Statistics, Journal of the American Statistical Association, Biometrika, Journal of the Royal Statistical Society, Series B, Biometrics, Statistica Sinica, New England Journal of Medicine, The Journal of the American Medical Association, Journal of the National Cancer Institute, Molecular Biology and Evolution, etc. Two of his co-authored books, Bayesian Survival Analysis and Monte Carlo Methods in Bayesian Computation, have been very well cited in the Biostatistics literature and have become textbooks for advanced graduate courses. The contributions of Dr. Chen's work are well recognized in Academia, Government guidelines and industrial practices.
Dr. Chen is Fellow of the American Statistical Association and the Institute of Mathematical Statistics. He is currently an Editor of Bayesian Analysis and an Associate Editor of Journal of the American Statistical Association as well as several other statistical journals.
Dr. Chen is a lifetime member of ICSA. He currently serves as an Associate Editor for Statistics and Its Interface (SII, an ICSA co-sponsored journal) and as the chair of the ICSA Publication Committee (2011). He served on the ICSA Board of Directors (2004-2006) and the Executive Director (2007 to 2010). During this period time, Dr. Chen has spent tremendous efforts to modernize daily functions of ICSA; the results include new ICSA webpage, semi-automatic voting system, on-line membership renewal and registration, among others. He was the chair of the local organizing committee of the 2006 ICSA Applied Statistics Symposium and the coordinator of the scientific program committee for the 2010 ICSA International Conference. Currently, he serves as a member of the executive committee of the 2012 ICSA Annual Applied Statistics Symposium.
Xihong Lin, School of Public Health of Harvard University
Dr. Xihong Lin is a Professor of Biostatistics and the Coordinating Director of the Program in Quantitative Genomics at the School of Public Health of Harvard University. Dr. Lin received her BS in Applied Mathematics from Tsinghua University in 1989 and PhD in Biostatistics from the University of Washington in 1994. She began her career in academe at the University of Michigan in 1994 where she was promoted to Professor of Biostatistics in 2002. She joined the Harvard School of Public Health as Professor of Biostatistics in 2005. Her research areas include development and application of statistical and computational methods for analysis of high-dimensional genomic and 'omics data in population and clinical sciences, and for analysis of correlated data, such as longitudinal, clustered and spatial data. She is a Fellow of the American Statistical Association (ASA), the Institute of Mathematical Statistics and an elected member of the International Statistical Institute. She is a recipient of the Spiegelman Award from the American Public Health Association in 2002, the President's Award from the Committee of Presidents of Statistical Societies (COPSS) in 2006, as well as the MERIT Award from the National Cancer Institute in 2007. She served as the chief editor of Biometrics (2003-2005) and has served on various editorial boards of Biometrika and the Journal of the American Statistical Association. She has served on numerous review panels of NIH and NSF. She currently serves the Chair of the COPSS.
Dr. Lin served on the ICSA Board of Director in 2004-2006. She is the founding co-editor of Statistics in Biosciences (2009-present). Her devoting efforts have made the existence of this ICSA sponsored journal realty.