Technology Exchange Council  


The Technology Exchange Council brings together experts in mathematics, statistics, and visualization in a cooperative effort among industry, higher education, and research centers to foster innovation. The Council provides insight into the evolution of Visual Numerics' product roadmap, ensuring that the company's efforts are aligned with industry trends, and that products will meet the real-world needs of students, researchers, and developers.

 
Dr. Gary McClelland, Professor of Psychology
University of Colorado

Dr. McClelland received his Ph.D. from the University of Michigan in 1974. His research interests include: Judgment and decision making; experimental economics; statistics and data analysis; and mathematical psychology. He is the Director of the Honors Program in Psychology and a Faculty Fellow for the Institute of Cognitive Science. Dr. McClelland has created a series of interactive applets that illustrate a variety of statistical principles. The applets can be found at: http://www.bolderstats.com/jmsl/doc/.

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Dr. Eliezer Prisman, Professor of Finance
Director of the Financial Engineering Program
Schulich School of Business, York University

Dr. Prisman's areas of expertise include methodological and commercial use of symbolic and numerical computation for financial models; investment; market imperfection, tax effects in the derivative and fixed income markets; arbitrage models; fixed income securities term structure estimation and immunization. He has authored numerous papers on these topics and information on the papers can be found at http://www.yorku.ca/eprisman. He also authored a textbook on the topic of Derivative Securities.

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Dr. Alan Edelman
Professor of Applied Mathematics Department of Mathematics
Massachusetts Institute of Technology

Dr. Edelman has been a Professor of Applied Mathematics at MIT since1993. He is the Computer Science and AI Laboratories Applied Computing Group Leader for the Computer Science and AI Laboratories. Research interests include: high performance computing;, numerical computation; linear algebra; and stochastic eigenanalysis (random matrix theory). Dr. Edelman has published numerous papers on topics such as scientific computing, parallel computing, numerical linear algebra, random eigenvalues, and approximation theory.

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Dr. Gerald Hanweck, Professor of Finance
School of Management, George Mason University

In addition to his position as Professor of Finance, Dr. Hanweck is also a Visiting Scholar in the Division of Insurance and Research of the Federal Deposit Insurance Corporation (FDIC). His focus at the FDIC is on the use of market information in bank risk management strategies, for use in establishing federal deposit insurance pricing, and the better identification of banks in financial distress. He has also served as a consultant to government agencies and as an expert witness in litigation involving financial institutions and government agencies.

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