2022

William A. Sethares

Professor, Electrical and Computer Engineering, University of Wisconsin–Madison

Areas: Computational Humanities, Computational Thinking, Computer-Aided Education, Courseware Development, Engineering, Image and Signal Processing, Image Processing, Signal Processing

Bill Sethares is a researcher and professor of electrical and computer engineering at the College of Engineering at the University of Wisconsin–Madison, focusing on signal processing with applications in acoustics, image processing, communications and optimization.

At the University of Wisconsin–Madison, Sethares attracts students from majors beyond engineering with his computationally rich image processing course material and project-based learning (all Wolfram Language–based, of course!). Sethares is a founding member of the LEOcode project and brings computation to art historians in the form of applications used to find patterns in watermarks and canvases. These can help to identify and date historical papers and paintings.

2022

Tetsuo Ida

Professor Emeritus, University of Tsukuba

Areas: Computational Humanities, Geometry, Software Development

Tetsuo Ida is a professor emeritus in the department of computer science and faculty of engineering, informatics and systems for the University of Tsukuba.

Ida contributed greatly to expanding the use of computation in art, and is a pioneer of computational origami in particular. He and his team treat origami as a subject of art and a science and technology of shapes. They developed a software system called Eos (E-origami system) to reason about origami computationally. Eos is written in Wolfram Language and is available as a package for Mathematica.

2020

William J. Turkel

The University of Western Ontario

Areas: Authoring and Publishing, Computational Humanities, Education

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

2020

Branden Fitelson

Northeastern University

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

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

2019

Flip Phillips

Professor of Motion Picture Science, Rochester Institute of Technology

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

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

2019

Casey B. Mulligan

Professor of Economics, Becker Friedman Institute, University of Chicago

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

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

2017

Peter Nilsson

English Teacher and Director of Research, Innovation and Outreach, Deerfield Academy

Areas: Computational Humanities, Education

Peter Nilsson is an English teacher and the Director of Research at Deerfield Academy. Earlier this year, he led the development of an introductory course in digital humanities using the Wolfram Language. Designed for students with minimal coding experience, the course focused on four different projects blending students’ previous knowledge from English courses with basic computational concepts—allowing them to dive deeper into and perform textual analysis on famous novels as well as their own writing.