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.

2021

Bruno Buchberger

Professor Emeritus, Johannes Kepler University Linz

Areas: Education, Mathematics, Mathematics Courseware Design, Software Development

Bruno Buchburger is a professor of computer mathematics at Johannes Kepler University in Linz, Austria. He is internationally known for his algorithmic theory of Gröbner bases. In recent years, Buchberger established the automated reasoning system Theorema and implemented it with his coworkers and students within Mathematica. Buchberger also contributed to the development of symbolic computation and computer algebra by founding and building up the Journal of Symbolic Computation, the Research Institute for Symbolic Computation (RISC), the Softwarepark Hagenberg and the University of Applied Sciences Upper Austria.

2021

Trevor Bennett

Cofounder, Starfish Space

Areas: Aerospace, Control Engineering, Risk Analysis, Software Development, Systems Engineering

Trevor Bennett is a cofounder at Starfish Space, where he’s giving life to on-orbit services. He earned a PhD from the University of Colorado, where he was a NASA Space Technology Research Fellow and one of Aviation Week’s “20 Twenties.” Prior to Starfish Space, Trevor designed and developed guidance, navigation and control (GNC) software at NASA and more recently Blue Origin. His journey with Mathematica started in 2013 when he was studying charged spacecraft formation flying. Wolfram’s software allowed development and refinement of a new set of orbit element use cases that could aid spacecraft operations. He has broad technical expertise in GNC, with a particular focus on rendezvous, proximity operations and docking (RPOD).

2021

Bruno Autin

President, Les Trois Platanes

Areas: Authoring and Publishing, Computational Physics, Physics, Software Development

Bruno Autin started his professional life in the Laboratoire de Recherches Générales de la Compagnie Française Thomson Houston, where he studied the amplification of acoustic microwaves in cadmium sulfide. He strove to replace classical traveling wave tubes by tiny crystals, the scaling factor being the ratio between sound and light velocities. In 1967, he began working at the European Center for Nuclear Research (CERN), where his research turned quickly towards subnuclear physics with the development of very-high-energy accelerators. Bruno started with the first proton collider, the Intersection Storage Rings (ISR), and became introduced to the design and operation of the magnetic systems of accelerators and colliders. The basic theory had been established by Ernest Courant, but matching the architecture of colliders to particle detectors was largely a process of trial and error depending on numerical computations. Finding this to be unsatisfactory, he started testing symbolic languages. The first achievement was the shape of the CERN antiproton source calculated with Veltman’s Schoonschip. The saga of the antiprotons continued both at CERN and at Fermilab. Then, during a sabbatical year at Lawrence Berkeley National Laboratory, where he worked on the design of the Advanced Synchrotron Light Source, he tested the first release of Mathematica, which was packed with the NeXT computer. Having symbolics, numerics, graphics and the notebook interface convinced him to build two packages: Geometrica for geometry and BeamOptics for the investigation of optical systems adapted to projects such as beam emittance optimization for the Large Hadron Collider (LHC), muon colliders, neutrino factories and medical synchrotrons. Now retired from CERN, he follows the progress of particle physics and writes particle accelerator documentation for Wolfram Research.

2021

Dr. Girish Arabale

Founding Director, Scigram Technologies Foundation

Areas: Computational Thinking, Education, Software Development

Dr. Arabale is the founding director of Scigram Technologies Foundation, a not-for-profit education organization seeking to introduce a tinkering culture into the schools to foster creativity, excitement and innovation in science learning. At Scigram, Dr. Arabale teaches underprivileged children how to program using the Raspberry Pi. He also frequently speaks to children at the K–12 level to teach coding techniques using the Wolfram Language. Currently, Dr. Arabale is developing a computational learning platform and is working on a project known as “Computable City” that aims to make every aspect of the city’s ecosystem computable.

2020

Mike Weimerskirch

University of Minnesota

Areas: Education, Mathematics, Mathematics Courseware Design, Software Development

Mike Weimerskirch is a mathematics professor who incorporates Mathematica heavily in his education workflow. After using Mathematica in his own graduate-school courses, he began applying it as a professor to help improve his students’ understanding in mathematics courses. As the director of educational innovation for the School of Mathematics at the University of Minnesota, he has helped build the Minnesota Online Learning System (MOLS) for generating and grading homework and quizzes. In addition to providing a better educational interface for faculty and students, the system has improved placement exam outcomes and helped increase the number of students that successfully complete freshman mathematics courses.

2020

William J. Turkel

The University of Western Ontario

Areas: Authoring and Publishing, Computational Humanities, Education

William J. Turkel is a professor of history at The University of Western Ontario in Canada, whose research and teaching focuses on computational methods, digital humanities and the histories of science, technology and environment. He is a cofounder of the Programming Historian website and the author of Digital Research Methods with Mathematica, now in its second edition. He has been using Mathematica in his research since the mid-1990s and has been teaching courses with the language for eight years.

2020

Ariel Sepúlveda

Pronto Analytics Inc.

Areas: Business Analysis, Image Processing, Industrial Engineering, Software Development

Ariel Sepúlveda is the founder and president of Pronto Analytics, an organization dedicated to helping other organizations standardize the generation of analyses and reports for supporting decision-making processes. He is an industrial engineer who has used Wolfram technology throughout his educational and professional career. He has used the Wolfram Language in many fields, including quality control, retail analytics, image processing and manufacturing applications. Ariel’s most recent project is D4CR, a Wolfram Language–powered application that interprets natural language queries to analyze data and generate standardized reports.

2020

Gustavo Restrepo

Exergétika Bogotá

Areas: Chemical Engineering, Energy Engineering, Fluid Dynamics, Industrial Engineering Economics, System Modeling, Systems Engineering

Gustavo Restrepo is a chemical engineer and entrepreneur who has used Wolfram technology extensively in the energy industry. During his PhD studies in industrial thermal engineering, he used Mathematica to model a thermochemical heat recuperation system to optimize energy efficiency. Working as a process engineer, he used Mathematica for many optimization problems involving separation vessels, heat transfer systems and heavy oil transport. In 2017, he cofounded Exergétika, where he is developing a Wolfram System Modeler package with hydrodynamic components for modeling networks and associated control loops, among other applications, to implement computational thinking in engineering.

2020

Omar Olmos

Instituto Technologico y de Estudios Superiores de Monterrey

Areas: Computational Physics, Data Science, Education, Machine Learning, Mathematics Courseware Design, Physics

Omar Olmos is north regional director of science and engineering for the Monterrey Institute of Technology, where he uses Mathematica for a range of education and research tasks. In addition to developing interactive examples, tutorials and other student resources, he uses Wolfram Language machine-learning analytics to predict student performance. Omar has also used Mathematica to model electromagnetic waves interacting with nanostructures, performing numeric experimentation to study new nanoscale optical effects.

2020

Dr. Ambar Jain

Indian Institute of Science Education and Research Bhopal

Areas: Education, Mathematics, Mathematics Courseware Design

Ambar Jain is a professor, researcher and developer who uses Mathematica and the Wolfram Language in all spheres of his profession. In 2015, he founded the Center for Research in Advanced Technologies for Education in Science, where he developed Examineer, an assessment engine for educators by educators. Examineer uses the Wolfram Language in the backend for authoring e-learning and assessment content and delivering them in the form of quizzes. He has also co-created a course for physics undergraduates titled Physics through Computational Thinking that uses Mathematica for teaching computational thinking using examples from physics. Many of his students use the Wolfram Cloud for performing physics computations. He is also engaged in several research projects where he uses the Wolfram Language for symbolic calculations, numeric computations and machine learning.

2020

Greg Hurst

United Therapeutics Corporation

Areas: 3D Printing, Biomedical Research, Computer Science, Materials Science, Software Development

Greg Hurst is a mathematician and software developer who has used Wolfram technology heavily throughout his educational and professional career. He recently used the Wolfram Language to create novel algorithms for designing an artificial human lung that can be 3D printed using biocompatible materials such as collagen. Greg is constantly evangelizing Wolfram technology to his colleagues at United Therapeutics Corporation and elsewhere.

2020

Virgilio Gomez Jr.

Quality Aspirators

Areas: Biomedical Research, Image Processing, Mechanical Engineering

Virgilio Gomez Jr. is a mechanical engineer who frequently uses Mathematica for research and development. As a graduate student, he used Mathematica to implement closed-form solutions for three-dimensional vibrations of elastic bodies. In his time as a research development mechanical engineer at Quality Aspirators, he has used Wolfram Language image processing in several projects, most recently for quantifying the aerosol spray generated during a certain dental procedure. This work aided in the design and testing of Safety Suction, a device for removing blood- and bacteria-carrying particles from the air to create a more hygienic environment, helping reduce the spread of COVID-19.

2020

Branden Fitelson

Northeastern University

Areas: Computational Humanities, Education, Philosophy, Probability Theory, Software Development

Branden Fitelson is a distinguished professor of philosophy at Northeastern University, where he teaches logic and formal epistemology courses using Mathematica. He developed the PrSAT package (a user-friendly decision procedure for probability calculus), which is used by various researchers and teachers around the world. Branden has used Mathematica for computational research in philosophy since the early 1990s, and he consistently encourages and inspires others to do the same.

2020

Guy F. de Téramond Peralta

Universidad de Costa Rica

Areas: Computational Physics, Education, Physics

Guy F. de Téramond Peralta is a theoretical physicist focusing on hadron structure, nuclear forces and group structure of grand unified theories. He uses Mathematica throughout his research, including ongoing contributions to light-front holographic QCD, a novel approach to hadron structure and dynamics. Guy’s work spans several decades and is widely cited in the physics community; he currently serves as a professor of physics at the University of Costa Rica.

2020

Pedro Paulo Balbi de Oliveira

Universidade Presbiteriana Mackenzie

Areas: Complex Systems, Computer Science, Education, Electrical Engineering, Software Development

Pedro Paulo Balbi de Oliveira is a professor at Brazil’s Mackenzie Presbyterian University who has made extensive use of Mathematica in his research on cellular automata and evolutionary computation. This has led to the continuous development of a cellular automata toolbox, which spun off a cellular multi-agent research system and a package to represent families of cellular automata. As a whole, these efforts have provided the core computational basis for the publication of over 80 research papers and for about 50 postgraduate and undergraduate student degrees.

2020

Tomás de Camino-Beck

LEAD University

Areas: 3D Printing, Biomedical Research, Complex Systems, Computer Graphics and Visual Arts, Image and Signal Processing, Internet of Things, Software Development

Tomás de Camino-Beck is a professor, researcher, entrepreneur and music producer who has contributed to the fields of mathematical biology, satellite imaging, cellular automata and epidemiological modeling, among others. He has used Mathematica for teaching a range of mathematical subjects and hands-on maker activities like 3D printing and microcontroller programming, as well as for projects in generative design and music video creation. Most recently, he has helped develop several educational videos and a Wolfram Language–powered website for demonstrating agent-based COVID-19 models in conjunction with the Costa Rican news agency El Financiero.

2020

Dr. Kenneth Bogen

Areas: Biomedical Research, Chemical Engineering, Environmental Engineering, Molecular Biology, Risk Analysis

Kenneth T. Bogen, DrPH, DABT, is a nationally recognized, board-certified consulting toxicologist and former University of California environmental scientist who has done extensive work in environmental health risk assessment, with over one hundred published (including award-winning) scientific journal publications in the field. Since 1988, he has developed RiskQ, a comprehensive package for efficient, symbolic, documented statistical and data analysis in the Wolfram Language. Dr. Bogen has used RiskQ and Mathematica in a broad range of research and applied assessment topics including zinc-ion diffusion and cytotoxicity in the nasal cavity, nickel biokinetic modeling, multi-route exposure assessment, biologically based and mode-of-action-informed cancer risk modeling, physiologically based organophosphate pharmacokinetic/pharmacodynamic modeling, and applications of environmental, occupational and consumer product-related toxicology and epidemiology.

2019

Mihai Vidrighin

R&D Lead, PsiQuantum

Areas: Electrical Engineering, Image Processing, Physics, System Modeling

Mihai Vidrighin is a researcher in photonics who has used Mathematica extensively throughout his career. During his PhD thesis, he used Mathematica to run simulations and data analytics involving quantum thermodynamics, and he continues to recommend the system to colleagues. He currently leads a team developing a photonics component for generating single photon pairs with new accuracy and scale. In this project, he has used the Wolfram Language to build an extremely comprehensive model for nonlinear and quantum optics to describe photon-pair generation and quantum optics circuits. Vidrighin has also written several Wolfram Language packages for quantum optics simulation and electron microscope image processing.

2019

Dr. Jane Shen-Gunther

Doctor, Brooke Army Medical Center

Areas: Biomedical Research, High-Performance and Parallel Computing, Image and Signal Processing, Machine Learning, Molecular Biology

Dr. Jane Shen-Gunther is a medical doctor and researcher for the US Army, specializing in gynecologic oncology and obstetrics. She recently started using Mathematica and the Wolfram Language to advance her team’s research in HPV detection, automating the analysis of several gigabytes of image and instrument data and generating interactive visual reports for both patients and physicians. Dr. Shen-Gunther has also deployed her predictive model in the Wolfram Cloud to share access with other physicians. Her work has led to improved patient interactions, as well as better prediction of pap outcomes that impact underdeveloped countries.

2019

Robert Rasmussen and Kirk Reinholtz

Senior Engineers, Jet Propulsion Laboratory

Areas: Aerospace, Control Engineering, High-Performance and Parallel Computing, Probability Theory, Risk Analysis, Software Development, Systems Engineering

Robert Rasmussen and Kirk Reinholtz are systems engineers who have used the Wolfram Language to develop a set of methodologies for building complex control system applications. Their integrated mission operation systems utilize the Wolfram Language to provide live updates to local data stores, keeping information consistent throughout processes. Both have used Mathematica extensively for large probability and engineering computations—including hundred-day distributed computations and the processing of gigabyte-scale datasets. They evangelize Mathematica and the Wolfram Language to others in the aerospace field, encouraging them to use Wolfram Notebooks for exploration and the expression of ideas.

2019

Flip Phillips

Professor of Motion Picture Science, Rochester Institute of Technology

Areas: Computational Humanities, Computational Thinking, Computer Graphics and Visual Arts, Education, Machine Learning

Flip Phillips is a professor, researcher and former Pixar animation scientist who uses Wolfram technology to integrate real-world computation into his psychology and neuroscience curriculum. Through his course, students get unique hands-on experience with computational thinking and machine learning, completing cross-disciplinary projects ranging from predicting voter behavior to identifying fruit from sensor readings. Phillips makes use of Wolfram connected devices for gathering data and frequently publishes his work in the Wolfram Cloud. He has used Mathematica extensively for his research on perception, psychological aesthetics and cortical plasticity. He has also written several packages for extending the Wolfram Language’s rendering capabilities.

2019

Casey B. Mulligan

Professor of Economics, Becker Friedman Institute, University of Chicago

Areas: Computational Humanities, Economic Research and Analysis, Economics, Software Development

Casey Mulligan is a renowned economist who has served as chief economist for the White House Council of Economic Advisors, a visiting professor at several universities and a research associate for the National Bureau of Economic Research. He frequently uses the Wolfram Language in his economic research and has published numerous papers that utilize Mathematica computations and visualizations. Mulligan has additionally developed a Wolfram Language package that provides unique functionality for automated economic reasoning using both quantitative and qualitative assumptions.

2019

Dr. Joo-Haeng Lee

Senior Research Scientist, Electronics and Telecommunications Research Institute

Areas: Computer Graphics and Visual Arts, Computer Science, Machine Learning

Dr. Joo-Haeng Lee is a researcher specializing in human-machine interaction, robotics and computational art. He has used Mathematica to develop several unique geometric algorithms for camera calibration and Bézier curves/surfaces. Most recently, he utilized the Wolfram Language to develop PixelSwap, an algorithm for pixel-based color transition that can be used for both aesthetic images and synthetic learning sets for deep learning. Dr. Lee regularly uses Mathematica visualization for technical illustrations and his artworks for exhibitions.

2019

Chris Hanusa

Associate Professor of Mathematics, PhD, CUNY Queens College

Areas: 3D Printing, Computer Graphics and Visual Arts, Mathematics, Mathematics Courseware Design

Chris Hanusa is a professor at Queens College in Queens, New York, teaching classes on calculus, mathematical modeling, graph theory and more. He makes extensive use of Mathematica to help his students with complex calculations and for visualizing difficult concepts. In his Math with Mathematica course, Hanusa works with students on several Mathematica-based projects, including 3D modeling and printing. He gives regular talks on teaching with Mathematica, emphasizing the importance of the Wolfram Language’s 3D printing capabilities.

2019

Todd Feitelson

Math Teacher, Millbrook School

Areas: 3D Printing, Computer Graphics and Visual Arts, Mathematics, Mathematics Courseware Design

Todd Feitelson teaches mathematics at Millbrook School in Millbrook, New York, and has been using Mathematica to build a new hands-on curriculum for his high-school students. His unique projects and problem sets bring math to life, using the Wolfram Language’s 3D modeling and printing capabilities to design and print polyhedrons, chessboards, rockets and more. Feitelson has presented his results at several conferences, showcasing Mathematica’s usefulness for creating these interactive problem sets.

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