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Wolfram Research: Meet Leading Corporations and Research Institutions

Life scientists around the world use Mathematica to fulfill their technical computing needs. Below are some of the many leading corporations and research institutions that rely on Mathematica and have made it an indispensable part of their bioscience research.

Major Corporations
Abbott Laboratories
Amgen Inc.
Baxter Healthcare Corporation
Bayer AG
Biogen, Inc.
Boehringer Ingelheim GmbH
Bristol-Myers Squibb Company
Celera Genomics Corporation
DuPont
Eli Lilly and Company
Genentech, Inc.
GlaxoSmithKline
Merck & Co., Inc.
Minnesota Mining and Manufacturing Company (3M)
Monsanto Company
Parke-Davis
Pfizer Inc.
Pharmacia & Upjohn Company
The Procter & Gamble Company

Government Agencies
Centers for Disease Control and Prevention
National Cancer Institute
National Institutes of Health
The National Research Council
The National Science Foundation
United States Department of Agriculture
U.S. Environmental Protection Agency
U.S. Food and Drug Administration

Universities and Research Institutions
California Institute of Technology (Caltech)
Cold Spring Harbor Laboratory
Columbia University
Cornell University
Duke University
Harvard University
Johns Hopkins University
Massachusetts Institute of Technology (MIT)
Princeton University
Stanford University
University of California, Berkeley
University of California, San Diego (UCSD)
The University of Chicago
University of Michigan
University of Pennsylvania
The University of Texas Southwestern Medical
    Center at Dallas
Universiteit Utrecht
University of Cambridge
University of Oxford
Washington University in St. Louis
Yale University

"We use Mathematica for all of our final analysis of data. Mathematica is used for curve fitting, graphics, calculating higher-order statistics, fitting against theoretical models, and statistical hypothesis testing."

Charles Wilson, Department of Anatomy and Neurobiology,
University of Tennessee


"Mathematica helped me quickly set up a population model for the sea lion population. Using data we had on the change in age-structure and the rate of decline of the population, I was able to solve some fairly complex equations and pinpoint a decrease in juvenile survival as the likely reason for the population decline."

Anne York,
National Marine Mammal Laboratory


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