Kyle Steinfeld is an architect who works with code and lives in Oakland, CA.
Through a hybrid practice of creative work, scholarly research, and software development, he seeks to reveal certain overlooked capacities of computational design; he finds no disharmony between the rational and whimsical, the analytical and uncanny, the lucid and bizarre. His work cuts across media, and is expressed through a combination of visual, formal, and spatial material. Across these, we find a consistent theme of undermining the imperative voice that is so often bestowed upon the results of computational processes, and find in its place a range of alternative voices.
His work at the intersection of Artificial Intelligence and Environmental Design has been exhibited at the NeurIPS workshop on Machine Learning for Creativity and Design in 2017 and 2018, and has been published in Towards Data Science.
Kyle is an associate professor of architecture at UC Berkeley. He is the author of "Geometric Computation: Foundations for Design", a foundational text that demystifies computational geometry for an audience of architecture students and design professionals.
As an educator, Kyle has taught core courses in design and architectural representation, and seminars in design computation for more than ten years at UC Berkeley, and more than twenty years at other institutions.
In a previous life as a professional architect, Kyle worked with and consulted for a number of design firms, including Skidmore Owings and Merrill, Acconci Studio, Kohn Petersen Fox Associates, Howler/Yoon, Diller Scofidio Renfro, and TEN Arquitectos.
Kyle holds a master's of architecture from the Massachusetts Institute of Technology (MIT), and a bachelor's degree in design from the University of Florida (UF).