has a B.S. from the California Institute of Technology and a Ph.D. from Cornell University.
Michael L. Cohen (Study Director) is a senior program officer for the Committee on National Statistics, currently serving as study director for the Panel on the Functionality and Usability of Data from the American Community Survey. Formerly, he was a mathematical statistician at the Energy Information Administration, an assistant professor in the School of Public Affairs at the University of Maryland, and a visiting lecturer in statistics at Princeton University. His general area of research is the use of statistics in public policy, with particular interest in census undercount, model validation, and robust estimation. He is a fellow of the American Statistical Association. He has a B.S. degree in mathematics from the University of Michigan and M.S. and Ph.D. degrees in statistics from Stanford University.
Roderick Little is the Richard Remington collegiate professor of biostatistics at the University of Michigan, where he also holds appointments in the Department of Statistics and the Institute for Social Research. Previously he was associate professor and professor in the Department of Biomathematics in the School of Medicine at the University of California at Los Angeles, an American Statistical Association/Census/National Science Foundation research fellow at the Census Bureau, and a scientific associate at the World Fertility Survey. A national associate of the National Academy of Sciences, he has served on a variety of NRC panels, including the Committee on Research on Child Abuse and Neglect, the Committee on Evaluation of National and State Assessments of Educational Progress, the Committee on National Statistics, the Committee on Research on Child Abuse and Neglect, and the Panel to Review the 2000 Census. He has served as coordinating and applications editor of the Journal of the American Statistical Association, is a fellow of the American Statistical Association, and received its Wilks Memorial Award. His research interests include statistical methods for missing data and survey research methodology. He has a B.A. in mathematics from Cambridge University and M.Sc. and Ph.D. degrees in statistics from the Imperial College of Science and Technology, London University.
Xiao-Li Meng is chair of the Department of Statistics at Harvard University. Previously, he was assistant and associate and professor in the same department. He has also served as professor of statistics at the University of Chicago and faculty research associate at the National Opinion Research Center. His expertise focuses on Bayesian methods and methods for missing data. He has served as editor of Bayesian Analysis and as an associate editor of Biometrika, the Journal of the American Statistical Association, Statistica Sinica, and the Annals of Statistics. He received the 2001 Committee of Presidents of Statistical Associations Award for outstanding statistician under the age of 40. He is a fellow of the Institute of Mathematical Statistics and of the American Statistical Association. He has a B.S. in mathematics from Fudan University, Shanghai, and M.A. (1987) and Ph.D. (1990) degrees in statistics from Harvard University.
Jeffrey Passel is a senior research associate at the Pew Hispanic Center. His expertise focuses on immigration to the United States and the demography of racial and ethnic