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.
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. 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.
Dr. Luci Ellis is Head of the Financial Stability Department at the Reserve Bank of Australia, where she led a team of IT developers to create a new internal graphing development process, GraphIT, which creates Mathematica chart objects using .NET. Dr. Ellis has held various positions in economic analysis research and worked on the global macroeconomics team of the Bank for International Settlements in Basel, Switzerland. She has written on a range of economic and financial topics, including exchange rates, housing prices, mortgage finance, and factor income shares, and she co-moderates the Mathematica Stack Exchange site under the pseudonym Verbeia. Dr. Ellis continues to advocate for employee adoption of Mathematica and the publishing of CDF-deployed charts while minimizing the Reserve Bank of Australia’s dependency on Excel. Dr. Ellis financed her attendance at the conference herself.
Rodrigo Murta is Retail Intelligence Manager for St Marche Supermercados, a high-end supermarket chain, and the first customer to purchase Mathematica Enterprise Edition in Brazil. He uses Mathematica as a hub for all of the company’s data, workflows, computation, and processing, and EnterpriseCDF to construct reports for store managers and company executives. He is currently experimenting with a web-based report interface that provides even greater access to intelligence reports.
At Enova Financial, Chad Slaughter used Mathematica’s deep analysis capabilities to better understand the relationship between performance data and top-level business metrics. This led to the Colossus Project, a completely automated platform that handles Enova’s online loan approval system and can process more than 20,000 loans per hour. Now a consultant, Slaughter is also using Wolfram Development Platform (formerly Wolfram Programming Cloud) to create solutions for Eligo Energy.
Physicist Frank Brand teaches courses in business mathematics, statistics, econometrics, and optimization using Mathematica. He has used Mathematica for many years, starting with his PhD thesis, “Optimization of Complex Optical Systems with Evolution Strategies.” Frank’s achievements using Mathematica in his research include the automatic construction of quality functions related to optimization problems. He also used Wolfram technology to write books—very recently he published a book on the analysis of complex systems, based on applications of graph theory.
Stefan Braun is recognized for using Mathematica in industrial applications. He has used Mathematica and the SmartCAEFab in more that 150+ industrial projects in different application areas. SmartCAE’s software solutions allow practical users to simulate complex applications problems, with a lot of parameters, without being a simulation or Mathematica expert.
Grigory Fridman is Head of the Department of Economical Cybernetics and Mathematical Methods for Economics at Saint Petersburg State University of Economics in Saint Petersburg, Russia. With his help StPSUE became the first university in Russia to offer access to Mathematica to all faculty and students.
Thomas Weber is recognized as an expert on quantitative methods in finance and risk. Being a heavy user of Mathematica since Version 1.2, Thomas utilizes this powerful tool for his consultancy for big banks, energy suppliers, and other institutions. Over these many years he has extended Mathematica as needed. For example, he developed a database link long before the Data Access Kit was available. He also integrated different pricing libraries into Mathematica, which allow kinds of risk analysis that go way beyond what is normally possible within financial institutions.
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.
As the Chief Risk Officer at EQA Partners, Philip Zecher designed, developed, and implemented a front-to-back trading system, from data acquisition to reporting, using Wolfram technologies. The system manages the flow of data to reduce data errors, time, and costs.Hear Philip Zecher talk about developing an enterprise-wide trading platform »