WOLFRAM

Wolfram Innovator Award

Wolfram technologies have long been a major force in many areas of industry and research. Leaders in many top organizations and institutions have played a major role in using computational intelligence and pushing the boundaries of how the Wolfram technology stack is leveraged for innovation across fields and disciplines.

We recognize these deserving recipients with the Wolfram Innovator Award, which is awarded at the Wolfram Technology Conferences around the world.

Presented at the Wolfram Technology Conferences. Learn more

2012

Fred Szabo

Mathematics and Statistics Professor, Concordia University

Areas: Education, Mathematics

Fred Szabo is recognized for his contributions in education. Using the phrase “A New Kind of Learning” in his presentations to demonstrate Mathematica’s usefulness throughout an educational curriculum, Fred has showcased Mathematica in broad discussion about the greater use of technology in Canadian schools and universities, citing his own mathematics courses where close to 90% of the students find Mathematica engaging and fun to use. Fred was among the first to embrace online courses, and began a plan for a series of videos to teach students in less technical areas how to use Mathematica. A recipient of numerous teaching awards, including the President’s Award for Innovative Excellence in Teaching, Fred’s goal is to significantly contribute to global education, especially to making the instruction of mathematics more available in Latin America.

2012

Thomas Roux

Financial Risk Manager, BRED Banque Populaire

Areas: Finance, Financial Risk, Risk Analysis

Thomas Roux is recognized for developing an innovative web service solution for financial risk management, based on webMathematica and webUnRisk. Thomas has shown how Wolfram technologies are integral to the fundamental sustainability of the global banking system, from his native France to the United States.

2012

Robert B. Nachbar

Mathematician, Chemist, Biologist, Modeling & Simulation; Merck Research Laboratories

Areas: Biology, Biotechnology, Pharmaceutical

Robert Nachbar is recognized for using Mathematica at Merck. He was instrumental in the Gardasil HPV vaccine project, turning a research-grade model created by his coworkers Elamin Elbasha and Erik Dasbach into a production-grade simulation package. Robert is responsible for the Wolfram|Alpha trial at Merck, has used Mathematica frequently in his research on viral dynamics for the hepatitis C virus, and has modeled clinical trial data.

2012

Dr. Ryohei Miyadera

Kwansei Gakuin High School

Areas: Computer Science, Education, Mathematics

Dr. Ryohei Miyadera wants his Kwansei Gakuin High School students to love mathematics and encourages them to perform advanced research in non-traditional ways. He teaches his students to use Mathematica to examine and realize their ideas even if they don’t yet know the high-level mathematics at work. Dr. Miyadera thinks Mathematica enables young people to enjoy mathematics because they aren’t focused on the calculation, but instead on the underlying concepts. A recent example of his students’ work in Mathematica made them finalists for the Asia region in the Google Science Fair 2012 competition. Feedback from his students and successes like this support Dr. Miyadera’s approach to teaching.

See Ryohei Miyadera's Mathematica Demonstrations »

2012

Dr. Kazuhiro Iwadoh

Tokyo Women's Medical University

Areas: Biology, Data Mining and Analysis, Risk Analysis

Dr. Kazuhiro Iwadoh is a medical doctor who studies biostatistics at Tokyo Women’s Medical University. He constructed a decision-making support system in Mathematica to estimate the possibility of injury to a transplanted organ by determining examining parameters that could change over time. The end result is a program that displays an array of a patient’s information such as prescription history and other factors, allowing the physician to select a treatment option tailored to the patient. Dr. Iwadoh hopes the system will contribute to a higher rate of success in organ transplants and for medical procedures in general.

Learn more about Kazuhiro Iwadoh's work »

2012

W. Craig Carter

Professor of Materials Science and Engineering, MIT

Areas: Computer Graphics and Visual Arts, Control Engineering, Materials Science

W. Craig Carter is recognized for his many uses of Mathematica over the years, starting with his PhD studies. He has tutored other MIT faculty with course examples in Mathematica to help their work, from the project planning stage forward. Craig has also used Mathematica for many years in his course “Mathematics for Materials Science and Engineers.” Craig’s achievements using Mathematica in his research include prototyping an idea with a start-up company to create a new type of battery. He also used Wolfram technology to collaborate on and help design an art piece feature at the Pompidou in Paris.

See W. Craig Carter's Mathematica Demonstrations »

2012

Rubén Berrocal and Marisa Talavera

National Secretary for Science and Technology (Berrocal), Director of Innovation in Learning (Talavera), Panama Government

Areas: Education, Mathematics

Rubén Berrocal and Marisa Talavera are recognized for revolutionizing the teaching of mathematics and science in Panama by incorporating Wolfram technology into their curriculum. SENACYT adopted the first countrywide provision for the computational software to be installed in all universities, and led plans to install it in high schools. SENACYT has trained professors, researchers, and students in Mathematica across Panama, ensuring that the country will become a bastion of scientific education recognized throughout the world as a supreme destination for intellectual enlightenment.

2012

Richard Anderson

Computer Scientist

Areas: High-Performance and Parallel Computing, Mathematics

Richard Anderson is recognized for his pioneering use of gridMathematica to explore network properties using percolation and random graph theories. He has developed gridMathematica applications that use a probabilistic approach along with large-scale multiprocessor computing techniques to explore the underlying structure of complex networks. This work led to the development of new methodologies to identify nodes that are critical to network cohesion and connectivity.

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