Will Schroeder



High Performance Visualization

Data size, whether as a result of computer simulation or acquired with high-resolution acquisition devices, continues to grow at an accelerating rate. This increase poses a formidable problem to researchers attempting to understand and theorize about such data. While a variety of methods have been developed to address the large data problem, visualization is a proven technique that maps information into visual and other perceptual streams, greatly improving the ability of researchers to practice effective engineering and science. This talk will showcase a variety of large data problems from applications in supercomputing, medical imaging, computer vision and large scale software development, focusing on the value of visualization as a tool for qualitative and quantitative analysis. We will also speak about the need to perform collaborative science, using novel business models based on open-source methods and distributed computational resources.


Dr. Will Schroeder is President and co-founder of Kitware, Inc. Kitware is a high-tech software company that employs a unique open-source business model in the areas of supercomputing visualization, medical imaging, computer vision, and large scale software development. Will's role at Kitware is to identify technology and business opportunities, and to provide strategic vision for the Company's open-source business model.

Kitware was founded in 1998 to support the open-source Visualization Toolkit VTK software initially created as a part of a visualization textbook authored by Will (along with Ken Martin and Bill Lorensen) and published by Prentice-Hall. Dr. Schroeder continues to contribute technically to the VTK software and also contributes to other open-source and proprietary software systems such as ITK, the Insight Segmentation and Registration Toolkit. In his technical leadership role, Dr. Schroeder participates in large-scale collaborative efforts, such as the National Institutes of Health NA-MIC National Center for Biomedical Computing, which is one of seven prestigious centers for advancing the frontiers of biomedical computing.

Prior to his current position, Dr. Schroeder was computational scientist at the GE Corporate R&D Center where he developed software tools for the analysis of mechanical systems, including medical and computational visualization. In an earlier position at the same organization he developed advanced tools for fully automatic mesh generation. From 1980 through 1987 he was a design engineer at GE's Gas Turbine Division where he helped design and implement advanced simulation systems based on finite element, finite difference and boundary element methods.

Dr. Schroeder graduated in 1983 with a M.S. in applied mathematics, and in 1991 with a Ph.D. in applied mathematics from Rensselaer Polytechnic Institute. His Ph.D. was obtained part-time over an eleven year period while he worked full time at GE. Dr. Schroeder graduated summa cum laude from the University of Maryland in 1980 as a mechanical engineer. Dr. Schroeder continues to be active in the research community presenting papers, teaching courses, and participating on panel discussions at such conferences as Siggraph, IEEE Visualization, and Supercomputing. Dr. Schroeder has also been an invited speaker at conferences such as Pacific Graphics, the CINECA (Italy) Supercomputing Series, Visualization Development Environments 2000, and ATT Visualization Days.

updated: 2008-09-17