2024

Europa Clipper Technical Resources Modeling Team

Jet Propulsion Laboratory

Areas: Aerospace, Computational Physics, Data Analysis, Data Analytics, Engineering, System Modeling, Systems Engineering

David Wagner, Andres Rivera, Emma Dodd, Narek Shougarian, David Coren and Reidar Larsen, members of the Europa Clipper project system engineering team at Jet Propulsion Laboratory (California Institute of Technology), used Wolfram Language and System Modeler as part of a large multiphysics simulation system used to validate requirements against performance of the design of the spacecraft intended to probe subsurface water on Jupiter’s moon Europa. Analysis provided by these models enabled the project to zero in on a workable design for an extremely complex mission and validate that it could achieve the mission’s aggressive requirements. The models continue to be used to validate mission plan updates into operations.

2023

Picket Pharmaceuticals, Inc.

Accepted by: Joshua Kriger and Lauren Williams

Areas: Data Analysis, Data Analytics, Economic Research and Analysis

The foundation of Picket Pharmaceuticals, Inc.’s approach is to first acquire, then integrate, large healthcare datasets—such as shortage data, manufacturing information, unit usage, pricing, price variation and many more—that capture the universe of healthcare interactions that surround each patient’s walk from diagnosis to completion of care through their piece of the healthcare system.

Using the Wolfram technology stack, Picket has conducted interesting work with insights on the points of failure and where inefficient markets exist in the supply chain. Of note, computation techniques used include projecting large amounts of healthcare supply and medication usage data into images. These images become the data fed to repurposed visual neural net training procedures that result in AI/machine learning models that are able to accurately recognize signals that predict future drug shortages.

Working with Wolfram’s Consulting Group, Picket has also verified a derived new class of economic measures, titled the Sutherland measures, made feasible by taking into account special economic qualities and situations of supplied medicines for the generic drug markets.

2023

Sander Huisman

Professor, Physics of Fluids, University of Twente

Areas: Data Analysis, Physics, Software Development, Software Engineering

Sander Huisman has been using Mathematica since 2003 for the processing of all his data, creating figures and visualizations and doing complicated fits and optimizations. Furthermore, he uses Mathematica’s interactive capabilities to generate illustrative examples in his fluid mechanics classes. He also uses it recreationally for the production of generated art for the yearly GENUARY event. He is also a contributor to the Wolfram Function Repository, having created over one hundred functions.

2022

Telconet

Telconet, accepted by Igor Krochin, Director

Areas: Business Analysis, Data Analysis, Data Analytics, Data Science, Economic Research and Analysis

Igor Krochin is the managing director of Telconet, the largest telecom company in Ecuador. They own some of the first certified cloud and data centers in Latin America, along with the first fiber-optic cable factory in the region.

Tomislav Topic and Krochin lead Telconet in implementing Wolfram Language solutions in a wide variety of areas, including events log correlations, route analysis and optimization, big data analysis and failure correlation, resulting in better planning and scalability. Telconet continues to build infrastructure and deploy services, including internet connectivity, that help students and educators in the region become empowered with Wolfram technologies, such as the Spanish version of Wolfram|Alpha, by accessing powerful and sophisticated computation from anywhere.

2022

Ricardo Martínez-Lagunes

Consultant, World Bank and Inter-American Development Bank

Areas: Civil Engineering, Data Analysis, Data Analytics, Data Science, Economic Research and Analysis, Environmental Engineering, Research and Analysis

Ricardo Martínez-Lagunes is a consultant for both the World Bank and the Inter-American Development Bank. His main professional activities currently focus on water resources policy, information systems for water resource management and environmental economic accounts and assessments.

Martínez-Lagunes is using Wolfram technologies to develop the next generation of computational water policy analytical tools to better understand and tackle challenges such as improving water utilities. In addition, he has demonstrated the ability to ingest large and disconnected datasets, compute and visualize that information more efficiently and create computationally dynamic dashboards for decision makers for policy design for investment/funding initiatives.

2022

Paul R. Garvey

Distinguished Chief Engineer/Scientist, The MITRE Corporation

Areas: Authoring and Publishing, Data Analysis, Data Analytics, Economic Research and Analysis, Modeling Dynamical Systems with Mathematica, Risk Analysis, Risk Management, System Modeling

Paul R. Garvey is a distinguished chief engineer/scientist at The MITRE Corporation, a not-for-profit organization operating federally funded research and development centers for the US government. He has decades of experience in systems operations research, network modeling, mission systems risk analyses, and the application of risk-decision analytics across a variety of problems in the federal government. His current work involves modeling the network structure of the US food supply chain, which is being done in collaboration with datasets and published studies by the University of Illinois Urbana-Champaign (UIUC) research team led by Professor Megan Konar.

Garvey has authored several textbooks, written numerous papers, holds a US patent, and continues to contribute his expertise and extensive Wolfram Language abilities to tackle big problems. One example is his work “US Food Supply Chain Security: A Network Analysis,” in conjunction with UIUC.

Utilizing Mathematica’s network modeling technologies, they identified critical US counties and links associated with the meat supply chain, which is characterized by 2,817 US counties (nodes) and 30,670 origin-to-destination links (edges) that exist between them.

2021

Leonardo Roncetti

Project Director for Offshore Structures and Maritime Works, TechCon Engineering and Consulting

Areas: Data Analysis, Engineering, Risk Management, Software Development, Structural Engineering

Leonardo Roncetti created data analysis and decision-making process for critical lifting operations of personnel on offshore platforms by crane to increase the safety of this extremely dangerous field. He is also known for creating a methodology that utilizes artificial intelligence to monitor cracks in concrete or steel structures in real time to prevent collapse and study damage over time. This methodology can be used in structures such as dams, bridges, nuclear power plants, buildings, hazardous-content storage tanks and many other large structures. He is an often-sought-after expert regarding structural failures and accidents of many types and has appeared and/or been interviewed about such across many media outlets.

2021

Edmund Robinson

Director of Data Analytics, Afiniti

Areas: Actuarial Sciences, Data Analysis, Data Analytics, Data Science, Industrial Mathematics, Risk Analysis, Risk Management, Software Development

Edmund Robinson is an industrial mathematician and software developer who has made many noteworthy contributions in the fields of fund and risk management as well as reinsurance. His prominent work includes the creation of interactive visualizations to provide breakdowns and comparisons of funds on the fly; generation of highly formatted performance figures with financial measures and statistics; summary infographics and PDF export; and rapid modeling, simulation and analysis of bespoke contract structures with interactive data, model and parameter selection. Edmund has also given talks focusing on workflows that combine third-party geographic information system (GIS) datasets with the contract loss distributions to produce a dynamic tool to estimate and visualize incurred but not reported (IBNR) claims related to a windstorm event and historical analysis of sunny-day flooding occurrences and forecasting with time series analysis.

2021

Scot Martin

Gordon McKay Professor of Environmental Engineering, School of Engineering and Applied Sciences, Harvard University

Areas: Authoring and Publishing, Data Analysis, Data Science, Engineering, Environmental Engineering, Physics

Scot Martin is currently a Gordon McKay Professor of Environmental Engineering and has previously held positions as an assistant professor at the University of North Carolina at Chapel Hill and a NOAA Postdoctoral Fellow in Climate and Global Change at MIT. His research focuses on engineering solutions to the major environmental challenges presently facing the world. Scot’s laboratory works specifically on problems of air and water pollution and their effects on climate change. His current research has a focus on connections among plant emissions of volatile organic compounds, particle-phase secondary organic material and climate. Martin is currently working to complete a book on aerosol science and technology and is developing a HarvardX course on thermodynamics.

2021

Richard Carbone

Digital Forensic Analyst & Researcher, Defence R&D Canada

Areas: Data Analysis, Data Science, Research and Analysis, Software Engineering

Richard Carbone is a digital forensic analyst and researcher at Defence R&D Canada, where his work involves investigations into advanced persistent threats, state actors and insider threats. He writes and designs tools using Mathematica to solve certain digital forensic problems that have not been adequately addressed by the community or by digital forensic software vendors. (The growth in Mathematica’s image processing capabilities specifically has made it a useful tool in digital forensics.) Examples of his prototyped tools include a forensic image analysis system and a binary file analysis system, the latter of which helps the user visually identify the underlying data and structure patterns inherent in most file formats. Carbone additionally has conducted research with federal law enforcement to define Canada’s standards for forensic analysis of computer memory.

2016

Bryan Minor

Acquisio

Areas: Advertising, Data Analysis, Research and Analysis

Bryan Minor leads algorithm development and associated intellectual property development as chief scientist at Acquisio in Montreal, Canada. He has developed Bid & Budget Management, a suite of fully automated algorithms for optimizing pay-per-click advertising across publishers, including Google, AdWords, Bing and Yahoo! Japan. Minor uses Mathematica and the Wolfram Language for research and data analysis, with algorithm implementation being focused on the API micro-service architecture of Wolfram Enterprise Private Cloud.

2016

Brian Kanze

Georgia-Pacific

Areas: Data Analysis, Data Science, Research and Analysis

As data scientist and concept design leader at Georgia-Pacific, Brian Kanze uses Wolfram technologies to bring innovation to Georgia-Pacific’s consumer products division. He developed a large-scale analysis and reporting tool to assist building owners and managers in forecasting product usage, reporting availability and planning work shifts according to peak usage times. Georgia-Pacific is pioneering new software-based analytic services using Wolfram Language-based technology, and Kanze’s work has identified key areas where this technology can be used to enhance performance and analysis.

2015

André Koppel

CEO, André Koppel Software GmbH

Areas: C, Data Analysis, Embedded Systems, Financial Analysis, Insolvency Analysis, Programming, QNX, Software Development, Visualization

André Koppel has worked in the field of measurement systems for over thirty years, developing robust software for intensive use in a wide variety of fields. His most recent project is the development of a modular software system for insolvency management, called INVEP, which uses the Wolfram Language to power its analytical engine. INVEP is capable of processing and analyzing accounts with more than 100,000 entries within seconds. He also teaches a course in insolvency analysis, using Wolfram Mathematica, at the University of Applied Sciences Schmalkalden.