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 Nicholas Mecholsky Research Scientist, Vitreous State Laboratory
Adjunct Assistant Professor, Catholic University of America
Areas: Authoring and Publishing, Image Processing, Machine Learning, Nuclear Engineering, Optimization, Physics, System Modeling

Nicholas Mecholsky is a research scientist and professor focusing on optimization and physical modeling. In addition to demonstrating high-level math and physics concepts to his students with the Wolfram Language, he has utilized it in research publications on subjects ranging from animal flocks to autonomous cars to thermoelectric transfer. He is currently involved in a joint project with the US Department of Energy and Vitreous State Laboratory using Wolfram Language image processing and machine learning to model, analyze and predict crystallization phenomena in nuclear tank waste. The project has significantly improved the efficiency of vitrification (transformation into glass), helping to make safer nuclear waste storage a reality.

2017 Dr. Tarkeshwar Singh Quantitative Analyst and Software Engineer, Quiet Light Securities Areas: Authoring and Publishing, Finance, Machine Learning, Risk Management

Dr. Singh is a quantitative analyst and software engineer at Quiet Light Securities and an early adopter of Wolfram Finance Platform. In conjunction with the CTO, Robert Maxwell, Dr. Singh brought Finance Platform on board to support daily derivative trading operations by developing extensive strategies and volatility surface models, as well as performing backtesting with intraday market tick data. He also provided daily snapshots of company-wide risk through CDF documents that provided insights and satisfied compliance requirements. He also developed an internal training program to bring quants up to speed with Wolfram technologies. In the future, he hopes to utilize the machine learning capabilities of the Wolfram Language to develop advanced trading algorithms through neural networks.

Dr. Tarkeshwar Singh