William S. Cleveland Joins Department

01-02-2004

The Purdue University Department of Statistics welcomes new faculty member Professor William S. Cleveland. He also holds a courtesy appointment with the Department of Computer Science. His current research interests include computer networking, data visualization, machine learning, data mining, statistical models and model building, and time series.

He has been involved in many projects requiring the mining, statistical analysis, and modeling of data from several fields including environmental science, customer opinion polling, visual perception, and computer networking. In the course of this work he has developed many new statistical models and methods, including visualization methods, that are widely used in engineering, science, medicine, and business.

He has participated in the design and implementation of software for the trellis display framework for visualization that he and colleagues developed, and for the loess approach to nonparametric function estimation that he introduced into statistics and machine learning. The software is now a part of many commercial systems.

Professor Cleveland holds a Ph.D. from Yale University and is a Fellow of the American Statistical Association, Institute of Mathematical Statistics, AAAS and is an elected member of the International Statistical Institute. In 1996, he was chosen for Statistician of the Year by the Chicago Chapter of the American Statistical Association. In 2002, he was selected as a Highly Cited Researcher by the American Society for Information Science & Technology in the newly formed mathematics category.

Professor Cleveland has published over 120 papers in a wide range of scientific journals, refereed proceedings and books. His two books

The Elements of Graphing Data (1985, 1994) and Visualizing Data (1993) have been reviewed in dozens of journals.

Professor Cleveland comes to Purdue University from Bell Labs in Murray Hill, New Jersey where he held a position as a Distinguished Member of the Technical Staff in the Statistics Research Department.

For further information on William S. Cleveland, please visit his homepage.