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

2016

Richard Scott

Mount Sinai School of Medicine

Areas: Bioimaging, Biomedical Research, Biostatistics

Richard Scott is part of a small group of engineers, pathologists and business development professionals at the pathology department at Mount Sinai working to commercialize image-based prostate cancer prediction models. The design of the analysis algorithms and the majority of the system development and testing were done using Mathematica and the Wolfram Language. One of the key technical advances of Scott’s system is its ability to accurately segment gland rings and fragments from prostate tissue across the full range of disease presentations using a Delaunay triangulation and Voronoi analysis.

2016

Maik Meusel

University of Zurich

Areas: Business Administration, Business Analysis, Education

Maik Meusel is the chair of quantitative business administration at the University of Zurich’s Department of Business Administration. He uses Mathematica and the Wolfram Language to improve the online assessment process. While most assessments use standard multiple-choice questions, Meusel creates dynamic, more sophisticated and individualized questions that allow educators to more accurately assess a student’s mastery of learning objectives. In June 2016, he presented on the topic “Solving Real-World Business Problems in the Classroom” at the Wolfram European Technology Tour.

2016

Bryan Minor

Acquisio

Areas: Advertising, Data Analysis, Research and Analysis

Bryan Minor leads algorithm development and associated intellectual property development as chief scientist at Acquisio in Montreal, Canada. He has developed Bid & Budget Management, a suite of fully automated algorithms for optimizing pay-per-click advertising across publishers, including Google, AdWords, Bing and Yahoo! Japan. Minor uses Mathematica and the Wolfram Language for research and data analysis, with algorithm implementation being focused on the API micro-service architecture of Wolfram Enterprise Private Cloud.

2016

Brian Kanze

Georgia-Pacific

Areas: Data Analysis, Data Science, Research and Analysis

As data scientist and concept design leader at Georgia-Pacific, Brian Kanze uses Wolfram technologies to bring innovation to Georgia-Pacific’s consumer products division. He developed a large-scale analysis and reporting tool to assist building owners and managers in forecasting product usage, reporting availability and planning work shifts according to peak usage times. Georgia-Pacific is pioneering new software-based analytic services using Wolfram Language-based technology, and Kanze’s work has identified key areas where this technology can be used to enhance performance and analysis.

2016

Ruth Dover

Illinois Math & Science Academy

Areas: Calculus, Education, Mathematics

Ruth Dover is a math instructor at the Illinois Mathematics and Science Academy (IMSA) in Aurora, Illinois. As an early adopter of Mathematica, in 1991 she oversaw its installation on IMSA computer lab machines for use with calculus courses for precollege students. Dover was a primary courseware contributor for the Mathematica Teacher’s Edition, shaping how instructors used it to teach math courses. Dover has taught thousands of students how to use Mathematica and the Wolfram Language over the course of her career. She is the author of two Wolfram Demonstrations and was the 1998 recipient of a Wolfram High School Grant.

2016

Samer Adeeb

University of Alberta

Areas: Civil Engineering, Education, Environmental Engineering

As an associate professor in the Department of Civil and Environmental Engineering at the University of Alberta, Samer Adeeb uses Mathematica in teaching continuum mechanics, solid mechanics and finite element method courses, introducing approximately 250 undergraduate and graduate students to the Wolfram Language each year. In addition to advocating for Mathematica’s use on campus, Adeeb provides a free, online civil engineering text utilizing webMathematica. In the future, he plans to transition his site and course materials to Mathematica Online. He is the author of the book Introduction to Solid Mechanics and Finite Element Analysis Using Mathematica, published in 2011.

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