From our origins in mathematical and technical computing, Wolfram technologies have emerged as a major force in many other areas of computing. Passionate individuals and organizations have played a major role in helping advance the usage of our technologies. We recognize these deserving recipients with the Wolfram Innovator Award, which is awarded at the Wolfram Technology Conferences around the world.

Innovator Award
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2018 Jorge Ramirez Applied Mathematician, Universidad Nacional de Colombia Areas: Applied Mathematics, Biology, Calculus, Education, Fluid Dynamics, Mathematics Courseware Design

Dr. Ramirez is a professor dedicated to applying contemporary mathematics to the natural sciences using the Wolfram Language. In addition to using the Wolfram Language daily for simulating natural processes, solving ODEs and PDEs, and performing administrative tasks like class management, he regularly evangelizes it to his students and colleagues. Dr. Ramirez also uses the language to develop interactive lectures, notes and other course materials—most notably for differential calculus lectures with 50+ students. He is currently involved in various research projects using the Wolfram Language to model, analyze and predict processes such as ant pheromone dynamics, nonlinear transport in breaking oceanic waves, runoff distribution in watersheds and glucose levels in diabetics.

Dr. Reed is an applied mathematician at Aerospace Corporation who uses Mathematica to identify and create various aerospace solutions specific to rocket and satellite design and testing. A certified instructor at Aerospace Corp., he has introduced many colleagues to Wolfram technologies through his classes, where it has become a staple for experimentation. Dr. Reed has two approved patents that involve solving nonlinear boundary-value problems and rely on the Wolfram Language’s modeling and visualization capabilities.

Chris Reed
2015 Phil Maymin Assistant Professor of Finance and Risk Engineering, NYU Tandon School of Engineering Areas: Applied Mathematics, Computer Science, Finance

Dr. Philip Z. Maymin recently joined Vantage Sports as their Chief Analytics Officer, in which role he helps oversee and create machine learning algorithms, novel visualizations, live interactive tools, backtests, and other robust automated insights from the Vantage dataset. He developed the automated general manager, a suite of CDFs that includes draft projections, trade evaluations, and free agent rankings. It allows users to backtest a systematic strategy and compare it with a team’s actual performance using Mathematica’s machine learning algorithms and performance data. Maymin’s next project is to launch the Analytics Institute of the University of Bridgeport School of Business, with the Wolfram Language as the program’s cornerstone.

Phil Maymin

Paul Abbott has used Mathematica extensively for research in wavelets and few-body atomic physics and to explore problems in computational and mathematical physics. He received a computational science award for his course in computational physics and has lectured on Mathematica in the United States, Japan, Singapore, Thailand, and India, and at several Australian universities. Abbott worked for Wolfram Research from 1989 to 1991, has served as a contributing editor of The Mathematica Journal since 1990, and has worked as a consultant to Wolfram Research since 1997.

Paul Abbott