Scott Zweydorff works at the intersection of mathematics, software development, art, and education. His research and teaching philosophy is verum ipsum factum : we understand what we can make. He has a Master of Arts in Mathematics from the University of Louisville. Additionally, Zweydorff has designed and instructed classes ranging from remedial math to statistics to calculus, in remote, traditional, and hybrid contexts. He has also worked as ‘full-stack’ web developer.
Throughout his mathematical education, Zweydorff created software as needed to make the learning process more creative, more interactive, and more effective. For example, he developed the application Spaceship for the exploration of the ‘computational space’ of elementary cellular automata while researching the generation of pseudo-random numbers.
Zweydorff also developed Neurographer for the construction and precisely controlled real-time visualization and training of artificial neural networks in a supervised learning context. Its most novel feature was a smoothly evolving plot of the improving mathematical model against a scatterplot of the training data.
What’s more, he designed and implemented a symmetric crypto-system Prefix in the languages Rust and Web Assembly using instantaneous or ‘prefix’ codes. Zweydorff has also recently iterated in several languages a tool for the visualization of continuous cellular automata called Fflo which animates kaleidoscopic and surprisingly ordered systems from a small set of randomly generated and continuously varying rulesets.