| Forrest W. Young, Professor of Psychometrics at the University of 
            North Carolina at Chapel Hill, received his PhD in Psychometrics from 
            the University of Southern California in 1967. He has been on the 
            faculty of UNC-CH ever since.  Prof. Young's early research interests focused on Multidimensional 
              and Nonlinear Multivariate Data Analysis (for which he was elected 
              the President of the Psychometric Society, and received the American 
              Market Research Association's O'Dell award, both in 1981). Via these 
              research interests, Prof. Young became involved in software development 
              early in his career. 
              Prof. Young has served as a professional consultant on statistical 
              system interface design with SAS Institute, Statistical Sciences 
              (the S-Plus system), and BMDP Inc. He has written or designed data 
              analysis modules for the SAS, SPSS and IMSL systems. He is a member 
              of the American Statistical Association's sections on Computational 
              and Graphical Statistics. 
              Recently, Prof. Young's research interests have focused on Statistical 
              Visualization, including the development of Guided Tours and SpreadPlots, 
              and on visual methods for guiding novice data analysts through complex 
              data analyses. The latter work combines Prof. Young's knowledge 
              about Psychology, Computer Science and Statistics, since it is based 
              on cognitive-science and artificial-intelligence notions concerning 
              the structuring of the environment in which data analysis occurs. 
              ViSta, a 10 year long project, incorporates much of Prof. Young's 
              previous research threads into a coherent analysis and visualization 
              environement. ViSta is a freely available, academically-oriented, 
              open and extensible visual statistics system that is useful for 
              teaching introductory and multivariate statistics, for data analysis 
              by statistically naive researchers, and for advanced research and 
              development in graphical and computational statistics. The development 
              of ViSta is nearly finished. 
            
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