STEAM Educator & Hacker
Miami, Florida
Teaching across all five STEAM disciplines — Science, Technology, Engineering, Art, and Mathematics — at The Cushman School in Miami.
About
Willie Avendano is a STEAM educator at The Cushman School in Miami, teaching across all five STEAM disciplines — Science, Technology, Engineering, Art, and Mathematics. He also helps run the school's Upper School mini maker space, where students prototype, fabricate, and experiment outside the bounds of any single course.
He brings an unusually broad background to the classroom: a degree from Columbia University in Operations Research and Computer Science, years building real tools at the intersection of technology and art, and a career co-founding and directing 01—a Miami education lab dedicated to fostering agency and creative confidence in young people through emerging technologies.
His interests span virtual reality, machine learning, genetic algorithms in design, and the history and philosophy of mathematics. Before teaching, his work was shown at the ICA Miami, HistoryMiami Museum, Satellite Art Show, and Locust Projects, and he spoke at Miami Beach Urban Studios and the Deering Estate.
His courses tie rigorous academic content to real engineering practice—students build, program, simulate, and ship actual projects.
Cushman School
Current & Upcoming — 2026–2027
College Board AP course covering data collection, probability, statistical inference, and regression. Students explore real datasets and build skills in R and Python.
View CourseAn introduction to the engineering design process, problem-solving frameworks, and hands-on prototyping. Students build physical and digital solutions to open-ended challenges. (PLTW Engineering Essentials)
View CourseStudents apply the design process to model and prototype solutions using 3D modeling software (Autodesk Fusion 360), learning documentation, iteration, and technical drawing.
View CourseA project-based survey of mechanical, civil, and electrical engineering systems. Covers statics, energy, materials, and control systems through hands-on lab work.
View CourseAn algebra-based first course in physics — motion, forces, energy, momentum, waves, and electricity — built through hands-on labs and real-world problem-solving. Some trigonometry appears where it's useful, but it isn't a focus. Standard (non-honors) track.
View CourseApplied mathematics through computation—students write programs that explore statistics, forecasting, simulation, and algorithmic thinking. Projects range from lemonade stand simulations to stock price models.
View CourseCo-Taught
Students design and conduct independent research culminating in a 4,000–5,000 word academic paper and oral defense. Willie co-teaches, supporting students whose work involves quantitative methods, data science, and computational approaches to complex questions.
View CoursePreviously Taught
Calculus-based mechanics — seven units covering kinematics, forces, energy, momentum, rotation, and oscillations. Equivalent to a first-semester university physics course.
View CourseBroad introduction to computer science concepts including algorithms, the internet, data, and societal impacts. Emphasizes creative problem-solving.
View CourseJava-based object-oriented programming course covering data structures, algorithms, and software design. Equivalent to a first-semester CS course at most universities.
View CourseBefore Cushman
Willie co-founded and served as Executive Director of 01, a Miami-based education lab built around one idea: young people learn best when they have real agency over what they build.
01 ran immersive maker programs—including the Wynwood Maker Camp—that introduced students to computer programming, fabrication, virtual reality, and emerging technologies at a time when those tools were still rare in K–12 settings. The lab's work was recognized with the 2018 Wavemaker Grant.
Willie studied at Columbia University in New York City, earning a degree in Operations Research and Computer Science—a field that sits at the intersection of applied mathematics, statistics, and algorithmic decision-making.
That foundation informs how he teaches today: rigorous quantitative thinking grounded in real systems, not abstraction for its own sake.
His creative practice explored the edge between computation and art. Work was exhibited at the ICA Miami, HistoryMiami Museum, Satellite Art Show, and Locust Projects. He has spoken at Miami Beach Urban Studios and the Deering Estate.
He was also active in early explorations of VR, generative systems, and cryptographic art—a thread that now runs through his CS and engineering courses.
Willie has published demos and tools exploring machine learning, Kalman filters, virtual reality simulations, and political NLP. Several of these projects live in his GitHub repositories and have been used in classroom contexts.
The intersection of quantitative rigor, creative practice, and engineering systems defines the thread running through all of his work—in and out of the classroom.
Talks & Presentations
Ampersand Studios, Arts & Entertainment District — Miami, FL
A talk on creative technology, education, and building spaces where young people develop agency through emerging tools. Hosted by CreativeMornings, the global breakfast lecture series for the creative community.
01 / LCHN Project Group — Miami, FL
Grant recipient for an experimental project combining blockchain mechanics with participatory music systems. Part of an ongoing exploration of cryptographic art and decentralized structures in creative practice.
Miami, FL
Invited speaker at public programming events exploring technology, design, and education in Miami's creative and civic institutions.
Institute of Contemporary Art Miami — Miami, FL
Selected participant in ICA Miami's open call for web-based art practice, alongside exhibition appearances at HistoryMiami, Satellite Art Show, and Locust Projects.
GitHub
A self-hostable, open-source learning management system inspired by Google Classroom. Built with Next.js 14, PostgreSQL, Prisma, and NextAuth.
View on GitHubDemand forecasting model built with students in Computer Science Math. Predicts foot traffic and revenue for a pop-up shop in Miami's Design District.
View on GitHubBrowser-based forecasting tool using LSTM, GBM Monte Carlo, and Decision Tree models — all running client-side via TensorFlow.js. Developed in the context of AP Research.
View on GitHubNLP pipeline measuring political polarity in text corpora using TF-IDF, logistic regression, and fine-tuned DistilBERT. Developed in the context of AP Research.
View on GitHubAn economic simulation used in Computer Science Math to explore pricing models, demand curves, and optimization under uncertainty.
View on GitHubDemonstration of Kalman filtering applied to machine learning systems. An early research tool from Willie's work in applied probabilistic methods.
View on GitHubA virtual reality demo built during the early days of 01, exploring immersive environments as a medium for student learning and creative expression.
View on GitHub