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.

2025

Harry Westfahl Jr.

CNPEM - Brazilian Center for Research in Energy and Materials

Areas: Advanced Synchrotron Instrumentation, Condensed Matter Physics

Harry Westfahl is the director of the Brazilian Synchrotron Light Laboratory (LNLS) at the Brazilian Center for Research in Energy and Materials (CNPEM), a position he has held since 2020. He earned his PhD in physics from the State University of Campinas (UNICAMP), Brazil, where he completed his undergraduate studies.

After postdoctoral research at the University of Illinois at Urbana-Champaign and the Ames Laboratory of the US Department of Energy, he joined LNLS as a researcher in 2001. Harry has held several leadership roles at LNLS, including Scientific Director (2013–2019) and Deputy Scientific Director (2011–2012). Since 2013, he has led the design and construction of the beamlines for Sirius, Brazil’s fourth-generation synchrotron light source. His research interests are focused on condensed matter physics and the development of advanced synchrotron instrumentation, contributing to advancements in beamline optics, detectors and experimental techniques.

2025

WebAssign Engineering Team

Cengage Group, Inc

Areas: Education, Mathematics Courseware Design

WebAssign began in 1997 at North Carolina State University as an early online homework platform for physics students. Over time, the technology grew into its own company, eventually providing online homework for millions of students globally.

In 2008, WebAssign took a major step forward by adding symbolic math to its homework system and chose Wolfram as its technology partner. Wolfram’s computational engine enabled real-time evaluation of student answers for accurate grading.

After Cengage acquired WebAssign in 2016, Wolfram technology became deeply integrated across a wide range of textbooks. Today, approximately 1.1 million WebAssign questions use Wolfram Language for instant grading and intelligent feedback. These textbooks span areas like algebra, pre-calculus, calculus, differential equations and statistics.

2025

Aninda Sinha

Indian Institute of Science, India
University of Calgary, Canada

Areas: Cosmology, Mathematical Physics, Quantum Field Theory, String Theory

Aninda Sinha is a theoretical high-energy physicist. His research focuses on quantum field theory, string theory, cosmology and mathematical physics.

Sinha’s research is both numerical and analytical in nature and makes heavy use of the capabilities of Mathematica. He has used Mathematica as a “theoretical experimentalist” in many of his 80 publications. His research on the bootstrap makes heavy use of the symbolic manipulation capabilities as well as the high-precision numerical capabilities of Mathematica. Recently, he found an infinite number of new formulas for pi in a paper that was published in Physical Review Letters, which was selected by Scientific American as one of the seven coolest mathematical discoveries of 2024. Mathematica provided a versatile platform to verify these results and to gain fresh, new perspectives on string theory.

2025

Gareth Russell

New Jersey Institute of Technology

Areas: Conservation Biology, Ecology

Gareth Russell is a computational ecologist and conservation biologist, focusing on spatial and movement ecology. He started using Mathematica at Version 4, mainly for population modeling, and expanded his use as its capabilities have grown. Currently he uses it to build and fit statistical models of animal movement in complex real-world landscapes, which also requires the processing of geospatial movement tracks and the processing and sampling of remotely sensed data layers.

From the beginning Gareth also brought Mathematica into his teaching, from complete graduate courses in computational ecology and statistics to course modules on epidemiology to general education labs that introduce freshmen to chaos, fractals and other amazing phenomena. For a while he ran a self-hosted webMathematica site that provided free tools for doing common basic calculations in conservation biology. Recently he has been experimenting with building specialized CNNs for separation of certain hard-to-distinguish species encountered during biodiversity surveys.

2025

Martin Ricker

Instituto de Biología Universidad Nacional Autónoma de México (UNAM)

Areas: Applied Statistics, Forest Science

Martin Ricker studied biology at the University of Würzburg in Germany, followed by his doctoral research at Yale University’s School of Forestry and Environmental Science. Since 1995, he has worked as a research fellow at the Institute of Biology of the National Autonomous University of Mexico in Mexico City to develop methods and knowledge for management and conservation of species-rich tropical forests. He has been an enthusiastic user of Mathematica since 1991, when he purchased for the first time the software for his doctoral studies, using it for analyses of databases, generation of graphs, regression and statistical analyses, as well as explorations with calculus. Over the years, a number of Mathematica notebooks have been published together with scientific articles about topics as varied as solving linear regression without skewness of the residuals’ distribution, statistical age determination of tree rings and a generalization of the exponential function to model growth. Currently, he is working with Mathematica on articles about generalized multivariate analysis of variance (GMANOVA), the numerical calculation of the inverse of the exponential integral Ei(x), and modeling tree growth curves indirectly with piecewise linear regression when tree ages are unknown.

2025

Nathan Myhrvold

Intellectual Ventures

Areas: 3D Printing, Asteroids, Biostatistics, Computer Science, Global Health and Development, Image and Signal Processing, Image Processing, Nuclear Energy, Paleontology, Planetary Science, Statistics, Theoretical Physics

Dr. Nathan Myhrvold is a prominent scientist, technologist, inventor, author and food photographer. In a 14-year tenure at Microsoft, Myhrvold led advanced technology and business development groups, founded Microsoft Research, managed an R&D budget of $2 billion and served as the company’s chief strategist and chief technology officer. Myhrvold previously had cofounded Dynamical Systems Research, a software company, and worked as a postdoctoral fellow in the Department of Applied Mathematics and Theoretical Physics at Cambridge University, where his research with Professor Stephen Hawking centered on quantum theories of gravitation. Myhrvold has published peer-reviewed research in planetary science, paleontology and climate science.

In 2000, after retiring from Microsoft, Myhrvold founded Intellectual Ventures (IV), which he leads as CEO and one of its most prolific inventors, with more than 850 US patents awarded. Myhrvold is vice chairman of TerraPower, a pioneer in advanced nuclear energy. He also has served as an adviser to startup companies that IV has launched to commercialize advanced metamaterials technologies.

Myhrvold is the author of seven Modernist Cuisine culinary and photography books and pioneer of innovative photography techniques and equipment. His most recent landscape photography book Natural Wonders is published by National Geographic and is on sale now.

Myhrvold holds a doctorate in theoretical and mathematical physics, as well as a master’s degree in mathematical economics, from Princeton University. His master’s degree in geophysics and space physics, as well as his bachelor’s degree in mathematics, are from the University of California, Los Angeles.

2025

Thomas Landsberger

ENODA Ltd

Areas: Economics, Energy and Sustainability, Energy Engineering, Software

Thomas Landsberger, Dipl.Ing., MSc, is an engineering leader whose innovative use of Wolfram Language has reshaped how complex control systems are modeled and implemented at ENODA. With a background in electrical and control engineering; over 20 years of software experience, including at Microsoft; and an additional degree in economics, Thomas brings a rare interdisciplinary perspective to solving high-impact technical challenges.

At ENODA, Thomas played a key role in developing the ENODA PRIME® Exchanger, a first-of-its-kind dynamic power-flow technology designed to replace traditional grid transformers, increase distribution capacity and enable large-scale decentralized renewable generation. Faced with the complexity of accurately modeling and controlling the system’s 12-coil, 12-degree-of-freedom architecture, he used Wolfram Language to derive control algorithms from first principles and build a code-generation workflow that ensures faithful, verifiable firmware implementation on real-time hardware, avoiding the risks of manual equation handling and translation to C.

Originally adopting Wolfram Language for advanced computational geometry problems in 3D-printing software development, Thomas has since become a driving force in expanding its use across ENODA. He has promoted Wolfram-based methods in research spanning physics, electrical engineering and signal processing, and organized training to embed Wolfram capabilities within the wider technical team. His ongoing work includes streamlining Wolfram Language-to-C/C++ deployment for real-time systems and developing tools that integrate Wolfram Language models with MATLAB/Simulink circuit simulations.

2025

Gabriel Landi

Associate Professor, Department of Physics and Astronomy, University of Rochester, NY

Areas: Energy Harvesting Devices, Open Quantum Systems, Quantum Computing, Quantum Sensing, Quantum Thermodynamics, Transport and Metrology

Gabriel T. Landi is an associate professor in the Department of Physics & Astronomy at the University of Rochester, where he directs the Quantum Thermodynamics and Quantum Transport group (QT2). He also serves as an associate editor of Physical Review Research. Professor Landi’s research sits at the crossroads of quantum information science, open quantum systems and nonequilibrium statistical physics. He is particularly recognized for his work in quantum thermodynamics and quantum transport: developing theoretical frameworks that reformulate thermodynamic laws in the quantum-coherent regime, analyzing quantum stochastic processes and investigating how coherence and fluctuations influence energy, entropy and information in small and strongly coupled quantum systems. His interests span theory of open quantum systems, quantum stochastic processes, quantum information theory and quantum metrology. A distinctive aspect of Professor Landi’s contributions is his design and deployment of a specialized computational framework built in Mathematica: the Melt library. Melt is a fully self-contained Mathematica notebook/package developed under his direction with the QT2 group, which provides users with a high-level yet transparent environment for simulating and analyzing open quantum systems, quantum information measures, Gaussian states, full-counting statistics and more. In his current role, he leads the QT2 research group, which applies advanced methods of quantum trajectories, full‐counting statistics and stochastic thermodynamics to explore fundamental questions (e.g., how irreversibility emerges at the quantum level) and to propose novel applications—including quantum sensing, thermal machines, energy harvesting at the nanoscale and quantum transport devices. Professor Landi’s work has gained widespread recognition in the community. His group publishes regularly in leading journals and is frequently invited to contribute to seminars and workshops on quantum thermodynamics and transport. He is also committed to mentoring the next generation of researchers and to advancing the theoretical foundations of quantum nonequilibrium physics.

2025

Thomas Hahn

Max-Planck-Institut für Physik

Areas: Computational Physics, Package Development, Physics, Quantum Field Theory

Thomas Hahn is a department leader at the Max Planck Institute for Physics. He is also on the executive committee for the Fachgruppe Computeralgebra (Subject Group in Computer Algebra). He is the author of numerous packages for performing calculations in quantum field theory, including FeynArts, one of the most highly cited Mathematica packages to date. He has applied his expertise to the study of high-energy computational physics and is personally an author of over one hundred scholarly works in this field.

2025

Elamin Elbasha

Merck & Co., Inc.

Areas: Economics, Epidemiology, Mathematical Modeling

Elamin Elbasha, PhD, MA, is the executive director of Health Economic and Decision Sciences at Merck Research Laboratories (MRL), USA. He leads a team that assesses the value of vaccines and drugs to prevent and treat infectious diseases through mathematical models and synthesis of data. Before 2018, he was a distinguished scientist at MRL.

Dr. Elbasha’s research expertise includes theoretical and applied approaches to economic analysis and mathematical modeling of diseases. His research includes analyzing vaccines against diseases of great public health importance such as HPV, HIV, varicella, rotavirus, CMV, hepatitis (A, B and C), RSV and pneumococcal infections.

Dr. Elbasha obtained his PhD in applied economics from the University of Minnesota and has over 25 years of post graduate research experience in the public and the pharmaceutical sector. He made several presentations at scientific meetings and has authored or coauthored numerous scientific publications in peer-reviewed journals, including Bulletin of Mathematical Biology, Emerging Infectious Diseases, Journal of Mathematical Biology, Pharmacoeconomics and Vaccine. Dr. Elbasha is a member of the Society for Industrial and Applied Mathematics, Society for Medical Decision Making, and International Society for Pharmacoeconomics and Outcomes Research (ISPOR). He also serves on the advisory board of the journal Mathematical Biosciences and editorial board of the journal Medical Decision Making. He enjoys playing soccer and spending time with his family.

2025

Mahn-Soo Choi

Professor of Physics, Department of Physics, Korea University
Director, School of Quantum, Korea University

Areas: Quantum Computing, Quantum Information, Theoretical Physics

Mahn-Soo Choi is a professor of physics at Korea University in South Korea and holds a PhD in physics from POSTECH in 1998. Following a postdoctoral fellowship at the University of Basel in Switzerland and a research fellowship at the Korea Institute for Advanced Study, he joined the Faculty of Physics at Korea University in 2002.

Choi’s research interests have evolved from his doctoral dissertation in condensed matter theory to encompass quantum computation and quantum information. His areas of expertise include quantum algorithms, quantum simulations, superconducting qubits, spin qubits in quantum dots and circuit quantum electrodynamics in quantum hybrid systems, as well as mesoscopic transport.

In the early 2000s, Choi initiated the development of Mathematica packages specifically designed for students studying quantum many-body systems and quantum spin systems. His primary objective was to assist students in prioritizing essential physics concepts over technical calculations. These packages eventually evolved into Q3, a symbolic quantum simulation framework implemented in Wolfram Language. Q3 was released to the public in 2020 through a GitHub repository and was subsequently featured in his recent book published by Springer titled A Quantum Computation Workbook.

2025

Qing-Hong Cao

Peking University

Areas: Physics Education, Quantum Mechanics, Top Quark Phenomenology

Qinghong Cao is a leading Chinese theoretical physicist, currently serving as vice dean of the School of Physics at Peking University, where he also holds the title of Boya Distinguished Professor, one of the highest academic honors awarded by Peking University for exceptional contributions to research and teaching. He is a recipient of the prestigious Outstanding Young Scientist Fund from the National Natural Science Foundation of China. His research focuses primarily on particle physics phenomenology—investigating the origin of mass, mechanisms of symmetry breaking, perturbative quantum chromodynamics (QCD) and potential signals of new physics at the TeV scale, often in close connection with cosmological phenomena.

Professor Cao has been using Mathematica since his undergraduate studies and continues to integrate it into his teaching of advanced courses such as quantum mechanics and particle physics. His textbook Quantum Mechanics has been selected as a 101 Physics Project Core Textbook in China, reflecting its national significance in physics education. In addition to his expertise in theoretical physics, Professor Cao is actively engaged in exploring the interdisciplinary integration of artificial intelligence and physics. His work spans textbook development, pedagogical innovation and the cultivation of top-tier talent—particularly within the evolving context of the AI era.

2025

Sheldon Axler

Emeritus Professor of Mathematics, San Francisco State University

Areas: Education, Mathematics, Package Development, Publishing and Authoring

Sheldon Axler is professor emeritus at the San Francisco State University Department of Mathematics. He has served over 15 years in leadership roles as the Mathematics Department Chair and Dean of the College of Science and Engineering at San Francisco State University. He has also held faculty positions at Michigan State University, the Mathematical Sciences Research Institute at Berkeley, Indiana University and the Massachusetts Institute of Technology. He has authored numerous excellent texts on college and graduate mathematics, including Linear Algebra Done Right, Harmonic Function Theory, College Algebra and many others. He has authored a Mathematica package for harmonic function theory calculations as well as over a hundred scholarly works in mathematics.

2024

Thomas Wallek

Associate Professor, Graz University of Technology

Areas: Chemical and Process Engineering, Chemical Thermodynamics, Education

Thomas Wallek’s area of expertise is chemical thermodynamics and its application in chemical and process engineering, for which he uses Wolfram as an essential standard tool for both research and teaching. In his research, he focuses on thermodynamic modeling, the estimation of physical property data, the characterization of complex mixtures and molecular simulations.

In this context, his workgroup has been developing a Gibbs-ensemble Monte Carlo simulation program completely implemented in Wolfram, which is constantly being further developed and benefits from the diverse visualization and evaluation capabilities of Wolfram Language. In the context of teaching, Wallek is committed to the Technology Enhanced Learning (TEL) Marketplace initiative of Graz University of Technology that focuses on the development and scaling of TEL innovations for teaching. In particular, Wolfram Notebooks were created as the basis of a chemical thermodynamics course that was designed in the “inverted classroom” concept and enables students to acquire the material independently through self-study. For this purpose, manipulable diagrams and animated equations were integrated into the notebooks, with which students can interact and learn independently.

2024

David G. Stork

Stanford University

Areas: Computer Graphics and Visual Arts, Computer-Aided Education, Engineering, Image Processing, Machine Learning, Materials Science, Mathematics, Visualization

David G. Stork is an adjunct professor of electrical engineering, symbolic systems and material science and engineering, as well as an adjunct lecturer in computational mathematics and engineering at Stanford University, where he considers Mathematica to be a valuable teaching tool and resource. Here, he developed and teaches Computational Symbolic Mathematics, a Mathematica-based course for using computer algebra for solving difficult non-numerical mathematical problems. Stork is a graduate in physics from the Massachusetts Institute of Technology (MIT) and the University of Maryland. He has held faculty positions at Wellesley and Swarthmore Colleges; Clark, Boston and Stanford Universities; and the Technical University of Vienna. Stork has been a long-time friend of Wolfram, using Mathematica in teaching and research. He holds 64 US patents and has published over 220 scholarly papers and nine books and proceedings volumes, including Pattern Classification, Second Edition and Pixels & Paintings: Foundations of Computer-Assisted Connoisseurship.

2024

José Guillermo Sánchez León

Instituto Universitario de Física Fundamental y Matemáticas

Areas: Applied Mathematics, Authoring and Publishing, Authoring in Mathematica, Computational Thinking, Computer Science

José Guillermo Sánchez León worked in the nuclear industry for over 30 years while simultaneously teaching as an associate professor at the Universidad de Salamanca. He is recently retired but continues as a researcher at the Instituto Universitario de Física Fundamental y Matemáticas (IUFFyM) of the Universidad de Salamanca, participating in a diverse array of research projects and publications. Furthermore, he conducts research on the history of medieval astronomy, using the extensive classic books of the Biblioteca General Histórica of the Universidad de Salamanca (BGH).

In his mind, Wolfram Language is a fundamental tool. In the summer of 1999, he was a visiting scholar at Wolfram Research and since then has collaborated on prerelease test processes. Guillermo Sánchez also gives seminars and training courses on Mathematica. He is the author of the book Mathematica Beyond Mathematics: The Wolfram Language in the Real World, where he shares examples from his experience using and teaching Wolfram Language, and even has a radio program (EUREKA).

2024

Sebastian Mizera

Princeton University

Areas: Education, Physics, Quantum Field Theory, Theoretical Physics

Sebastian Mizera is a theoretical physicist studying quantum field theory and gravitational physics. He is currently a postdoctoral researcher at Princeton University and an affiliate at the Princeton Center for Theoretical Science and the Institute for Advanced Study. His research aims to understand the nature of interactions between fundamental objects, ranging from elementary particles to black holes. He is particularly interested in how physical principles, such as causality, locality and unitarity, are encoded in the analytic structure of asymptotic observables in quantum field theory.

Wolfram Language is the bedrock of symbolic computations in the field of theoretical high-energy physics. Mizera employs it in his daily research on quantum field theory, but also in higher education. Recently, he incorporated Wolfram Language in the graduate course Physics of the Analytic S-Matrix given at the Higgs Centre School of Theoretical Physics at the University of Edinburgh. The software was used to illustrate complex concepts behind scattering theory on hands-on examples.

2024

Andrew Lütken

Technology Innovation Institute (TII)

Areas: Mathematics, Modeling Condensed Matter Systems Using Tools from String Theory, Quantum Computing, Quantum Field and String Theory

After obtaining his PhD at the University of Texas at Austin, Andrew Lütken worked at the European Organization for Nuclear Research (CERN), the Nordic Institute for Theoretical Physics (Nordita), the University of Oxford, Institut de Fisica d’Altes Energies (IFAE) at the Universitat Autònoma de Barcelona (UAB) and the University of Oslo, where he has been a professor of physics for 30 years. He is now the executive director of the Quantum Computing Lab at the Technology Innovation Institute (TII) in Abu Dhabi.

Lütken has used Wolfram extensively in particle physics, quantum field theory and the analysis of ground state strings (the construction and classification of Calabi–Yau manifolds). Together with the late Graham Ross (University of Oxford), he has shown that a new type of “modular” symmetry appears in nature (in the quantum Hall effect). He has recently built the first quantum computing lab in the Middle East and North Africa (MENA) region, including a chip foundry that has fabricated the first quantum computers in this part of the world.

2024

Pedro Fonseca

SUEZ

Areas: Computational Thinking, Engineering, Image Processing

Pedro Fonseca earned his degree in environmental engineering with a specialization in sanitary engineering from Universidade NOVA de Lisboa, Portugal. He has since built an international career focused on the detailed engineering of water treatment plants within the SUEZ Group, with professional experiences in Paris, France; Virginia, United States; and Lisbon, Portugal. Since 2012, Fonseca has managed the hydraulic discipline, contributing significantly to the research and development of new products and leading the basic and detailed hydraulic design of water treatment plants around the world.

Fonseca’s passion for education drives his engagement with Wolfram Language, which he first encountered in 2006 (Version 5.2) while pursuing a second degree in applied mathematics. Over the years, he has integrated Wolfram technologies, including Mathematica and System Modeler, into various aspects of his work and personal projects. These tools play a crucial role in his product development efforts, such as data mining, algorithm development and the creation of digital twins for design verification and optimization. Fonseca has also actively participated in multiple Wolfram Research activities, primarily in France, including boot camps, summer schools and product demonstrations.

2024

Robert Feger, Thomas Kephart, Robert Saskowski

Developers of LieART

Areas: Gravity, Particle Physics, Physics, Quantum Entanglement, Research and Analysis, Software Development, String Theory, Theoretical Physics

Robert Feger, Cocreator of LieART and Researcher, Deutscher Wetterdienst
Robert Feger is a researcher and developer at the Deutscher Wetterdienst, Germany’s national meteorological service, specializing in thunderstorm and convection detection in weather radar data. As a particle theorist, he used Wolfram extensively in his PhD studies on heavy-quark physics at the University of Siegen. During his postdoctoral fellowship by the German Academic Exchange Service at Vanderbilt University, Feger worked on grand unified theories based on special unitary groups. His research required fast and demanding calculations in group theory. Initially created as a group theory toolbox for personal use, Feger, mentored by Tom Kephart, created LieART, a Wolfram application for Lie algebras and representation theory. LieART has been appreciated by particle physicists and mathematicians for its user-friendly interface and computational power covering all classical and exceptional Lie algebras. It can also be used as a group theory teaching tool as the output and visualizations, e.g. of Dynkin diagrams and weight and root systems, are akin to textbooks—all enabled by the very same core principles of Wolfram.

Thomas Kephart, Cocreator of LieART and Professor of Physics, Vanderbilt University
Thomas Kephart is a particle theorist and has worked on formal aspects of gauge theories, particle physics models and group theory. Some topics include chiral gauge anomalies, topological defects and extensions of the standard model, including grand unification, family symmetry, discrete symmetry and string-inspired models. Wolfram has been an indispensable tool in his research for many years. The applications have ranged from particle physics model building to the classification of quantum entanglement to theoretical biophysics.

Many branches of science seem poised for great advances as machine learning, artificial intelligence and quantum computing converge. Most recently, in a study of coherent states from the solar corona, Kephart has used AI to write Wolfram Language code to analyze the signal-to-noise ratio expected in detectors. He also finds Wolfram a great help in mentoring students, as by learning to use it, they can quickly make useful contributions to research projects.

Robert Saskowski, Cocreator of LieART and Researcher, Tianjin University
Robert Saskowski is a postdoctoral researcher in the Center for Joint Quantum Studies at Tianjin University studying string theory and related topics. He specializes in higher-derivative supergravity and precision holography. His undergraduate thesis involved working on LieART, a powerful Wolfram application for doing computations with Lie algebras and their representation theory, and implementing branching rules therein.

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.

2024

Mauro Da Lio

Professor, Università degli Studi di Trento

Areas: Artificial Cognitive Systems, Intelligent Vehicles, Robotics

Mauro Da Lio is a full professor of mechanical systems at the Università degli Studi di Trento, Italy. He has been a long-time user of Mathematica since Version 6, notably using it in earlier research of modeling, simulation and optimal control of mechanical multibody systems, particularly vehicle and spacecraft dynamics. More recently, his focus shifted to modeling human sensory-motor control with applications in health, robotics and, mostly, intelligent vehicles.

He was involved in several EU framework program projects (PREVENT, Saferider, interactIVe, VERITAS, AdaptIVe, No-Tremor and SUNRISE). Professor Da Lio was the coordinator of the EU Horizon 2020 Dreams4Cars research and innovation action: a collaborative project in the robotics domain that aimed at increasing the cognition abilities of artificial driving agents using offline simulation mechanisms broadly inspired by the human dream state (the learning of forward models and offline synthesis of inverse ones).

2024

Michael Berry

Melville Wills Professor of Physics (Emeritus), University of Bristol

Areas: Divergent Series, Natural Optical Phenomena, Phase, Physical Asymptotics, Physics of Waves

Michael Berry is a theoretical physicist at the University of Bristol, where he has been for more than twice as long as he has not. His research centers on the relations between physical theories at different levels of description (classical and quantum physics, ray optics and wave optics), emphasizing the singularities at different levels. Wolfram has been his tool of choice for all the numerics and graphics in nearly two hundred research papers since 1988. In addition to these deeply mathematical, often geometric studies, he also delights in finding familiar phenomena illustrating deep concepts—the arcane in the mundane: rainbows, the sparkling of the sun on the sea, twinkling starlight, polarized light in the sky and tidal bores.

2024

Héctor Benítez Pérez

IIMAS-DGTIC Universidad Nacional Autónoma de México

Areas: Computer-Aided Education, Courseware Development, Data Science, Education, Research and Analysis

Dr. Héctor Benítez Pérez graduated with honors in electrical mechanical engineering from the Faculty of Engineering at the Universidad Nacional Autónoma de México (UNAM) and pursued his doctorate at the University of Sheffield in the Department of Automatic Control and Systems Engineering. Within UNAM, he served as the head of the Institute for Research in Applied Mathematics and Systems (IIMAS) from 2012 to 2020 and is currently the head of the General Directorate of Computing and Information and Communication Technologies (DGTIC). Additionally, he serves as a representative to various official organizations, both national and international.

Benítez Pérez has worked as a researcher in the field of control systems. He has played a pivotal role in organizing UNAM systemwide Wolfram training and communication events, providing invaluable opportunities for students, faculty and researchers to advance their work in science and technology. His contribution to academic training is highlighted by the creation of the bachelor’s degree in data science, the specialty in high-performance computing and its integration into UNAM’s Continuing Education Network (REDEC), which formalizes collaboration in continuing education activities and has led to the offering of a course at the IIMAS Academic Unit in the state of Yucatán.

In collaboration with IIMAS, the UNAM Institute of Mathematics, Centro Virtual de Computación (CViCom), the French Embassy in México, the Ministry of Foreign Affairs, Huawei México and the German Cooperation Agency, he has participated in organizing forums, workshops and meetings aimed at promoting research development in México in the field of artificial intelligence. He has supported many Wolfram training and communication events. His efforts have offered room for students, faculty and researchers space to continue research in science and technology.

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