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 is a senior statistical advisor at Westat. He retired in 2019 from positions as Chairman of the Board of Directors, Senior Vice President and Senior Statistical Fellow at Westat where he had worked for 27 years. During this period, he was also a research professor in the Joint Program in Survey Methodology at the University of Maryland. Prior to joining Westat in 1992, Dr. Kalton was a research scientist at the Survey Research Center of the University of Michigan, where he also held the titles of Professor of Biostatistics and Professor of Statistics. Earlier in his career, he was the Leverhulme Professor of Social Statistics at the University of Southampton and Reader in Social Statistics at the London School of Economics. He has served as President of the International Association of Survey Statisticians, as a member of the National Academy of Sciences’ Committee on National Statistics, and of five CNSTAT panels, and as a member and chair of Statistics Canada’s Advisory Committee on Statistical Methods. In 1998-2000 he served as chair of a CNSTAT panel 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.