The SAE 2020 Program Committee is pleased to announce that the following keynote speakers presentations will be held in the beautiful scenario of Naples.
Graham Kalton retired in 2019 from positions as Senior Vice President and Senior Statistical Fellow at Westat where he had worked for 27 years. He is one of the founders of the Joint Program in Survey Methodology at the University of Maryland, where he still holds a title of research professor. Prior to joining Westat, he was a research scientist at the Survey Research Center of the University of Michigan for 12 years, also holding titles of Professor of Biostatistics and Professor of Statistics. Before that, he was Leverhulme Professor of Social Statistics at the University of Southampton and Reader in Social Statistics at the London School of Economics. Dr. Kalton has wide-ranging interests in survey methodology, and he has published on several aspects of the subject. In 1998-2000 he served as chair of a panel of the National Research Council’s Committee on National Statistics that was tasked with evaluating the US Census Bureau’ s Small Area Income and Poverty Estimates (SAIPE) program at a time when that program was under development.
J. Sunil Rao, Ph.D is Professor and Director of the Division of Biostatistics in the Department of Public Health Sciences (DPHS). Previously, Dr. Rao was Professor of Biostatistics at Case Western Reserve University in Cleveland, Ohio. Dr. Rao's research interests include high dimensional model selection, mixed model selection, predictive modeling, sparse bump hunting and development of statistical methods in cancer genomics. Dr. Rao teaches Generalized Linear Models in the M.S. and Ph.D. programs in Biostatistics. He is also a fellow of the American Statistical Association. J. Sunil Rao works on various aspects of modeling cancer data from high dimensional genomic data to small area estimation (estimating quantities in areas/locations where little or no direct data is collected), all the way through to modeling health disparity data. Most recently, Professor Rao has begun working in modeling pharmacogenomic data - both in trying to identify novel drug targets but also in trying to validate high throughput pharmacogenomic studies. Finally, Professor Rao has developed a number of R software modules that are used widely around the world.
Andrea Saltelli has worked on physical chemistry, environmental sciences, applied statistics, impact assessment and science for policy. His main disciplinary focus is on sensitivity analysis of model output, a discipline where statistical tools are used to interpret the output from mathematical or computational models, and on sensitivity auditing, an extension of sensitivity analysis to the entire evidence-generating process in a policy context. He has worked at the European Commission, leading between 2005 and 2015 a unit of econometrics and applied statistics. From November 2016 till June 2020 adjunct professor at the Centre for the Study of the Sciences and the Humanities (SVT) - University of Bergen (UIB). He is presently at Open Evidence Research, Open University of Catalonia. His most recent papers have tackled sensitivity analysis and auditing, the ecological footprint, the future of statistics, the rational of evidence-based policy, the crisis of science and the post-truth discussion. Andrea gives courses in sensitivity analysis, sensitivity auditing and ethics of quantification.