2026

Malcolm Woodruff

Consultant Civil, Structural and Geotechnical Engineer, United Kingdom

Areas: Civil Engineering, Data Analysis, Engineering, Geotechnical Engineering, Mathematical Modeling, Structural Engineering

Malcolm Woodruff is a civil, structural and geotechnical engineer with over 60 years’ experience. He began his career in 1965 at Kingsnorth Power Station, followed by work on major housing developments, sewage treatment and flood prevention works. In 1979, he established his own consultancy, undertaking work in civil, structural, geotechnical and marine engineering. He holds an MSc in civil engineering structures from City University and a PhD in landslides from the University of Southampton.

2026

Gerald Thomas

Milwaukee School of Engineering

Areas: Economics (Game Theory), Physics, Software Engineering, Systems Engineering

Gerald Thomas has 10 years of experience in high-energy particle physics at CERN, Switzerland; the University of Helsinki, Finland; and Argonne National Laboratory, US, followed by 25 years in the corporate world at Nokia (formerly AT&T) Bell Labs, US; Motorola (cellular division); and a successful startup company in Florida, US. The corporate experiences included project management, software engineering and senior and executive management. He has worked closely with system dynamics consultants trained at MIT to help control the delivery and staffing overruns for a large software project. This generated the idea that a deterministic theory of decisions could apply not only to software projects but more generally to any field of human endeavor in which decisions play a significant role. The key was to tie this idea to a theoretical foundation, which experience in particle physics provided. These ideas have been expanded in a just-released book entitled Geometry, Language and Strategy: The Dynamics of Decision Processes, Vol. 2 (World Scientific, 2016).

2026

Daniel Thomas

University of Rhode Island

Areas: Chemical Education, Computational Chemistry, Control and Interrogation of Isolated Molecules, Molecular Analysis

Daniel Thomas received a PhD in chemistry from the California Institute of Technology under the direction of Prof. J. L. Beauchamp. Following his PhD, he pursued an Alexander von Humboldt postdoctoral fellowship at the Fritz Haber Institute of the Max Planck Society in Berlin, Germany, under the supervision of Prof. Dr. Gerard Meijer and Prof. Dr. Gert von Helden. Dr. Thomas was appointed as an assistant professor of chemistry at the University of Rhode Island in the fall of 2020. His research program leverages the selectivity and control afforded under vacuum conditions to study chemical structure and reactivity using custom mass spectrometry instrumentation and infrared action spectroscopy. His research group applies this approach to investigate topics that span chemistry research areas, including biomolecular structure and dynamics, structural motifs in deep eutectic solvents and reactions at the liquid/vapor interface. His approach to chemical education involves a hands-on approach that integrates interactive demonstrations and analysis using interactive Mathematica notebooks and projects.

2026

Dmitry Sizov

Nazarbayev University, Kazakhstan

Areas: Mechanical and Aerospace Engineering, Space Debris Removal

Dmitry Sizov is a faculty member in the Department of Mechanical and Aerospace Engineering at Nazarbayev University. He is also the principal investigator of TARAZ (Tethered Aerobrake Research for Active deorbit and Zero debris), a project exploring a new approach to removing space debris supported by the Ministry of Science and Higher Education of Kazakhstan. His team is developing an in-orbit demonstration using a nanosatellite, tether and deployable aerodynamic brake, with Wolfram Language supporting the calculations and mission design. At Nazarbayev University, Dmitry uses Wolfram Language to make complex engineering concepts interactive. For each of his lectures, he created more than 200 notebooks that combine computation, simulation, animation and visualization. He has also developed numerous Mathematica packages for engineering calculations, including BeamSolver, which provides analytical solutions to beam-bending problems and enables interactive exploration of structural mechanics.

2026

Hee-Young Shin

Wright State University

Areas: Economic Research and Analysis, Economics, Mathematical Modeling

Hee-Young Shin is currently a professor of economics at Wright State University, where he has been primarily teaching macroeconomics and monetary and mathematical economics. He obtained his PhD, MS and MPhil in economics from the New School for Social Research. His main research interests include dynamic economic modeling and macroeconomic stabilization policies. Throughout his career, Dr. Shin has used Wolfram Mathematica to build and simulate important macroeconomic models, with which he aims to deliver more engaging learning experiences in the classroom.

2026

Arunkumar Sharma

Associate Professor, Computational Chemistry, California State University, Monterey Bay

Areas: Chemistry, Computer-Aided Education, Education, Machine Learning

Arunkumar Sharma is an educator and computational chemist using molecular dynamics simulations and machine learning techniques to understand a variety of chemical systems at the molecular level. Those systems have included asphaltenes, reverse micelles, ionic liquids and biofuels. In both his research and teaching, Wolfram Language is a critical component for scientific programming and computational thinking.

In this context, he developed an introduction to scientific computing course for first-year undergraduates using Wolfram computational notebooks. The course highlights computing, particularly with Mathematica, as an important tool to enrich the understanding and practice of the natural sciences. A programming module engages students with functional programming; the molecular visualization module focuses on structure and editing; and student-driven, hands-on projects unite all the concepts in a real-world application. These projects resulted in publications on laboratory glassware identification and structural motif identification in asphaltenes using machine learning. Public dissemination of this course’s materials facilitates bringing computational thinking with Wolfram tools into any chemistry or STEM course across the globe.

2026

Néstor Alejandro Martínez Chavira

ADS Mexicana

Areas: Computer-Aided Education, Control Engineering, Data Analytics, Education, Engineering Physics, Environmental Engineering, Industrial Engineering, Industrial Mathematics, Interface Design, Materials Science, Mathematica Consulting, Metrology

Néstor Alejandro Martínez Chavira is a materials engineer with a master’s degree in materials science and engineering from the Institute for Materials Research at UNAM. He is currently the senior quality and standardization manager at ADS Mexicana, a position he has held since 2014, and serves as treasurer of the ITIAC board of directors and as a technical expert at CEDEIM, a laboratory specializing in plastic piping.

With extensive experience in materials science, product development, quality assurance and conformity assessment, Martínez Chavira has held engineering, laboratory and academic positions in the automotive and industrial sectors. He has been actively involved in international and national standardization for more than a decade, serving as Mexico’s delegate to ISO/TC 138 since 2015 and participating in multiple ASTM committees and subcommittees. He has also contributed to standardization committees in Mexico, Costa Rica and Panama, including leadership roles as committee president and vice president.

His professional interests include materials science research, product design and development, quality management, conformity assessment and technical standardization.

2026

Juan Klopper

Teaching Associate Professor of Biostatistics and Bioinformatics, George Washington University

Areas: AI, Biomedical Research, Biostatistics, Data Science, Education

Juan (Jay) Klopper is an associate professor of biostatistics in the Department of Biostatistics and Bioinformatics at the George Washington University (GWU). He is also board certified in surgery and pediatric surgery in the Republic of South Africa and was previously the head of the Acute Care Surgery Unit at Groote Schuur Hospital, University of Cape Town, home of the first human heart transplant.

Jay developed the first postgraduate course in generative artificial intelligence (AI) for public health research at GWU, and his main interest is in the use of generative AI in postgraduate education. He uses Wolfram Language in his current courses in biostatistics and geospatial data science.

He has authored two books: a textbook on Wolfram Language in statistics and a textbook on the use of generative AI in academia. Jay maintains an active research portfolio in surgery, as well as forensic medicine. He previously published the formative paper on the structure of acute care surgery units in resource-constrained environments.

He is currently working on the mechanisms of death in massive blunt force trauma, together with the use of Wolfram Language to examine the role of postmortem computed tomography in these cases. In his spare time, Jay enjoys creating open educational resources, and he has published over a thousand video tutorials on mathematics and data science.

2026

Kang Wook Kim

Kyungpook National University

Areas: Electromagnetics and Microwave Engineering, Microwave/mm-Wave Plasma Diagnostics, Signal Integrity for Ultra-high-speed Digital Signals

Kang Wook Kim has been a professor in the School of Electronics Engineering at Kyungpook National University (KNU) in Korea since 2001. He received his PhD in electrical engineering from the University of California, Los Angeles (UCLA), in 1996. Before joining the faculty at KNU, he worked as a postdoctoral fellow at UCLA and as a design engineer at the Narda Division of L-3 Communications Co.

His research has significantly contributed to ultra-wideband microwave and mm-wave components and subsystems with frequency bandwidths in the tens of GHz. This work spans commercial and military applications, as well as cutting-edge physics in fusion plasma diagnostics. Utilizing proprietary ultra-wideband transmission technology, his lab has successfully developed advanced microwave components and antennas. Notably, his research group developed and published a general design technique for all quasi-TEM planar transitions, utilizing analytical design equations—coded in Mathematica—based on conformal mapping.

Driven by the rapid expansion of AI data center capacity, the required speed of digital signal transmission is approaching 224/448 Gbps per lane, and conventional differential lines are reaching their limitations for future USB, PCIe, Ethernet and SerDes architectures. To offer a solution, his recent research focuses on ultra-high-speed digital transmission utilizing planar balanced lines and ultra-wideband transitions. His recently patented structures feature autonomous amplitude and phase skew recovery properties from DC to over 100 GHz, paving the way for low-cost, power-efficient solutions in current and future ultra-high-speed digital signal transmission.

2026

Tomás Garza

Universidad Nacional Autónoma de México

Areas: Geometry, Probability and Statistics

Tomás Garza has been a knowledgeable and active user of Mathematica for many years, using Wolfram Language for problem solving and teaching since 1993. He is a published author of numerous Wolfram Demonstrations and has been featured as a presenter at Wolfram webinars and events.

Tomás has held various teaching positions with the National Autonomous University of Mexico and other Mexican institutions of higher learning, mainly in the fields of probability theory and statistics. He is presently retired but still active in the development of interactive resources for teaching geometry at the high-school level, and a number of extended notebooks on these topics are kept in the Wolfram Notebook Archive. He is an educational consultant for Wolfram Language activities for students and other users and occasionally teaches courses on the subject.

2026

Todd Dixon

Marathon Petroleum

Areas: Chemical Engineering, Data Analytics, Energy, Oil and Gas

Todd Dixon is a seasoned chemical engineering executive and analytics leader with over three decades of experience driving technical excellence across the energy sector. Currently serving as the director of production analytics at Marathon Petroleum, Todd specializes in leveraging advanced computational tools and data-driven insights to optimize complex production environments.

2026

Peter Bradley

Cochlear Ltd.

Areas: Biomedical Research, Embedded Systems, Engineering, Mathematical Modeling, Signal Processing

Dr. Peter Bradley is an engineering leader whose innovative use of Wolfram Language has reshaped how wireless technology for power and communications in implants is modeled and implemented at Cochlear Ltd. With a background in biomedical and system engineering for close to 40 years, Peter brings a rare interdisciplinary expertise to solving high-impact technical challenges in integrated circuit design, ultra-low-power wireless communications, ionizing radiation effects and reliability studies in implants. Peter was the system architect for the medical implant wireless chip technology implanted in over 10 million people worldwide over the last 20 years that enables communication to pacemakers, implantable defibrillators, deep brain implants and other neurostimulators.

Peter is the director of advanced wireless technology at Cochlear, where he leads the development of next-generation wireless technologies for implantable hearing devices. With expertise spanning wireless communications, biomedical engineering and medical device innovation, he has played a key role in advancing technologies that improve connectivity and outcomes for cochlear implant recipients.

Peter first came across Mathematica in 1994 and used it for the world’s first evidence and analysis of cosmic radiation effects on a life-supporting medical application. A longtime user of Wolfram technologies, Peter has leveraged Mathematica and Wolfram Language for engineering analysis, modeling, algorithm development and rapid prototyping, helping accelerate research and critical product development within Cochlear. Peter advocates to colleagues the merit of Mathematica’s advanced technical computation and has developed applications for internal use at Cochlear.

Peter holds a doctorate in medical physics from the University of Wollongong, as well as a master’s degree in biomedical engineering and a bachelor’s degree in electrical engineering from the University of New South Wales.

2026

Bruce M. Boghosian

Tufts University
American University of Armenia

Areas: Applied Mathematics, Computational Science, Statistical Physics

Bruce Boghosian is president of the American University of Armenia (2010–2014, 2023–present) and professor of mathematics at Tufts University (2000–present). He has used Wolfram Language since 1987, when he received a beta version of Mathematica directly from Stephen Wolfram.

Boghosian’s research spans applied dynamical systems and probability theory, with applications from fluid dynamics to social systems. Since 2014, he has used Mathematica to investigate how everyday market transactions can give rise to extreme wealth inequality. His 2019 article “The Inescapable Casino” uses Wolfram Language to develop this wealth-exchange model and was included in The Best Writing on Mathematics 2020.

Boghosian is a fellow of the American Physical Society and a foreign member of the Armenian National Academy of Sciences. His honors include Tufts University’s Distinguished Scholar Award and Undergraduate Initiative in Teaching (UNITE) Award, as well as the Order of the Republic of Armenia and the Gold Medal from the Armenian Ministry of Education and Science. Boghosian has more than 110 publications and more than 220 invited talks.

2026

Balasubramanian Ananthanarayan

Centre for High Energy Physics, Indian Institute of Science

Areas: Effective Field Theories, Feynman Integrals, Hypergeometric Functions, Quantum Field Theory

Professor Balasubramanian Ananthanarayan is a professor at the Centre for High Energy Physics at the Indian Institute of Science in Bangalore, India, and chaired the centre for a record of over nine years and seven months over 2009–2018, having joined there in December 1996. He obtained his undergraduate education at the Indian Institute of Technology, Madras, and his MS and PhD from the University of Delaware, US.

After postdoctoral research work carried out at the Physical Research Laboratory in Ahmedabad, India, and at the Universities of Lausanne and Bern in Switzerland, he established research programs in supersymmetric grand unification and particle spectra, collider physics with beam polarization and a variety of topics in low-energy effective theories and dispersion relations. Most recently he has carried out work on Feynman integrals and hypergeometric functions and, together with his former students, constructed several packages in Wolfram Language. His work at the interface of quantum field theory and computer algebra has attracted significant attention in the community.

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 the software for the first time, for his doctoral studies, using it for analyses of databases, generation of graphs, and 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 a 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: Control Systems, Economics, Electrical Engineering, Electromagnetic, Energy and Sustainability, 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 the 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 postgraduate research experience in the public and the pharmaceutical sectors. He has 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 the 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 received 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.