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.

2024

Fei Du

Associate Professor of Accountancy, Gies College of Business, University of Illinois at Urbana-Champaign, and Associate Academic Director, Center for Professional Responsibility in Business and Society

Areas: Accounting Analysis, Computational Thinking, Data Analytics, Financial Analysis

Fei Du is an associate professor of accountancy at the Gies College of Business, University of Illinois Urbana-Champaign. Her research focuses on the interaction between users and designers of managerial accounting systems and has been published in top academic journals, including The Accounting Review, the Review of Accounting Studies, Contemporary Accounting Research, the Academy of Management Journal and the Journal of Management Accounting Research.

Du teaches courses in data analytics at the graduate level, emphasizing computational thinking and decision making. She leverages Wolfram Language for its powerful capabilities in accessing curated financial and socioeconomic data, which complements traditional accounting metrics. She also integrates real-world capital market events, news and case studies to enhance students’ understanding of business insights.

Du is also the author of Creative Data Analytics: Computational Recipes to Gain Insights into Businesses, published by Wolfram Media. This book features a mouse-driven interface that allows students to input data—ranging from website URLs to images and PDF files—and generate real-time computational results. Her innovative teaching approach integrates text and images from websites, CEO portraits and financial reports, blending traditional financial spreadsheet tools with advanced computational capabilities powered by Wolfram Language.

2023

Patrick Scheibe

Research Scientist, Max Planck Institute for Human Cognitive and Brain Sciences

Areas: Data Analytics, Programming, Software Engineering

Patrick Scheibe boasts a dynamic and illustrious career journey in academia and industry. He spent over a decade at Leipzig University, where he played a pivotal role in leading an image and data processing unit, enabling researchers to quantify medical and biological experiments easily. During his PhD studies, he took a deep dive into the intricacies of the human fovea, extensively utilizing Wolfram Language to model and quantify this crucial eye region from optical coherence tomography scans. Subsequently, Patrick’s expertise took him to the neurophysics department at the Max Planck Institute for Human Cognitive and Brain Sciences, where he continues to work on data processing for quantitative MRIs.

Patrick is a highly versatile professional with a wide range of expertise beyond academia. He has worked as a consultant using Mathematica on various projects focused on simulations, modeling and data analyses in diverse domains for companies like Daimler, Procter & Gamble and Dow Chemical. Patrick has been developing and maintaining the Wolfram Language integration for JetBrains IDEs since 2012. His exceptional skills and expertise have led him to join the IntelliJ Platform SDK team at JetBrains. In addition, Patrick has developed several syntax highlighters for Wolfram Language, one of which has been used on the official Mathematica Stack Exchange site, where he is an enthusiastic moderator and member.

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.

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

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.

2017

Andrew Yule

Flow Assurance Specialist, Assured Flow Solutions

Areas: Authoring and Publishing, Chemical Engineering, Data Analytics, Fluid Dynamics

Andrew Yule is a flow assurance specialist at Assured Flow Solutions who developed an internal toolkit written entirely using the Wolfram Language and deployed it to his colleagues through EnterpriseCDF. Containing over 40 different calculations and workflows that are used daily throughout the company, this toolkit centralized Assured Flow Solutions utilities and has completely changed the way the entire organization views data analytics and visualizations. He also uses the Wolfram Cloud to deploy APIs that run calculations as a back end to Visual Basic UIs.