The National Academies: Advisers to the Nation on Science, Engineering, and Medicine
NATIONAL ACADEMY OF SCIENCES NATIONAL ACADEMY OF ENGINEERING INSTITUTE OF MEDICINE NATIONAL RESEARCH COUNCIL
Current Operating Status
CNSTAT HOMEPAGE

WHAT'S NEW

ABOUT CNSTAT

CNSTAT MEMBERS

CURRENT PROJECTS

MEETINGS

PUBLICATIONS

STAFF AND CONTACT INFORMATION

OTHER SITES OF INTEREST


Speaker Bio – May 8, 2009 Seminar on the Federal Statistical System: Recognizing its Contributions; Moving it Forward

William F. Eddy

William Eddy is John C. Warner professor of statistics at Carnegie Mellon University. A long-time researcher in statistical computing and graphics, he is co-creator of Functional Image Analysis Software-Computational Olio (FIASCO), a collection of tools for processing very large multidimensional arrays of data, including functional magnetic resonance imaging (fMRI) data, positron emission tomography (PET) scanning data, genetic microarrays, and optical image data. His work with large data sets has also included applications with disease mapping data, grocery store scanner data, and airline traffic data. The current chair of the Committee on National Statistics, he is also a past chair of the National Academies’ Committee on Applied and Theoretical Statistics. He is a fellow of the American Association for the Advancement of Science, the American Statistical Association, the Institute of Mathematical Statistics, and the Royal Statistical Society, and is an elected member of the International Statistical Institute. He holds additional appointments in Carnegie Mellon’s Machine Learning Department, Department of Biological Sciences, Center for the Neural Basis of Cognition, and the Center for Cognitive Brain Imaging as well as the Brain Imaging Research Center (joint with the University of Pittsburgh). He was the founding coeditor of CHANCE magazine and is the founding editor of the Journal of Computational and Graphical Statistics. He has an A.B. degree from Princeton University, and M.A., M.Phil., and Ph.D. degrees in statistics from Yale University.

RSS News Feed | Subscribe to e-newsletters | Feedback | Back to Top