Wolfram Computation Meets Knowledge

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.

2018

Nassim Nicholas Taleb

Distinguished Professor of Risk Engineering, NYU Tandon School of Engineering
Scientific Advisor, Universa Investments

Areas: Authoring and Publishing, Financial Risk, Probability Theory

Dr. Nassim Nicholas Taleb is a world-renowned researcher and author with dozens of published papers relating to the philosophical, mathematical and practical issues with probability, especially in the fields of financial risk and decision making. His multivolume work Incerto, which covers broad facets of uncertainty, has been translated into 37 languages. He currently serves as Distinguished Professor of Risk Engineering at NYU’s Tandon School of Engineering, with a focus on properties of “antifragile” systems whose functioning improves with disorder. Dr. Taleb has used Mathematica extensively in his work, including for research into non-idealized probabilistic decision-making models and computational pre-asymptotics.

2014

Mark Kotanchek

Areas: Data Mining and Analysis, Economics, Financial Risk, Mathematica Consulting, Probability Theory, Risk, Risk Analysis

Mark Kotanchek left Dow Chemical in 2005 to form the startup Evolved Analytics. DataModeler, one of the largest Mathematica applications produced outside of Wolfram Research, handles data modeling via evolutionary programs. It also performs data analysis and makes sophisticated use of both user interface and kernel technology. At the 2014 Wolfram Technology Conference, Kotanchek revealed a GUI for DataModeler that makes it even easier to use Wolfram’s world-class analysis capabilities.

2014

Frank Scherbaum

University of Potsdam

Areas: Musicology, Probability Theory, Seismology, Signal Processing

Frank Scherbaum, a professor of geophysics at the University of Potsdam, has been using Wolfram technologies since Mathematica 1. He has developed packages for signal processing, seismology, and seismic hazard analysis, which are widely used in research and teaching. His most recent book on probabilistic seismic hazard analysis, developed with the help of his students Nico Kuehn and Annabel Hëndel, covers widely diverse areas such as probability theory, earthquake seismology, strong motion processing, and geotechnical engineering, and has been fully generated with Mathematica and CDF technology. In addition, he uses Mathematica extensively as a hobby musicologist to explore new ways to represent and classify polyphonic vocal music.

All Recipients:

By Year:

By Area of Interest:

See More