Nathan Dube is an artist whose work explores the relationship between experience, memory, and identity, and how each shapes the way we move through the world. His practice spans traditional fabrication and emerging digital methods — from CAD drawing and laser cutting to Python-based generative code — translating intangible experience, like a fleeting moment in traffic or the structure of a song, into objects, images, and patterns.
Originally from Austin, Texas, Nathan grew up mainly outside Houston. He holds an MFA from Kent State University and a BFA from the University of Texas at Austin. His work has been exhibited both nationally and internationally, including a solo show at the National Ornamental Metal Museum in Memphis, Tennessee. He currently teaches at Houston City College, and beginning Fall 2026 will join the University of Houston—Main Campus as Professor of Practice, Digital Fabrication and Arts and Technology.
Through my work as an artist, I primarily focus on themes of memory, nostalgia, and identity. My goal has been to gain a better understanding of myself, while simultaneously preserving my memories through the work I make. My current practice moves in two parallel directions: highway maps drawn from my daily commute, and generative software that translates between music and image.
The highway maps capture fleeting moments of Houston traffic that I observe on GPS during my daily commutes. I meticulously dissect and transform these patterns into abstract graphic designs that offer a fresh perspective on the urban landscape. The intricate compositions go beyond maps, highlighting the balance between the temporary nature of gridlock and the endurance required to navigate through it. They invite viewers to encounter beauty within the stresses of the urban environment. We often consider the time spent in traffic to be wasted, but with this work I encourage viewers to consider the order within the chaos, and to reconsider their connection to the time spent on the road. Each map is a record of an ordinary morning that would otherwise dissolve — a small act of preservation pulled from the everyday.
In a parallel line of work, I use Python code to analyze a piece of music, deconstruct its parts and structure, and reassemble them into a visual portrait of the song. At the same time, I am using Python to deconstruct a visual artwork and recontextualize it as a piece of music. The process is deliberately two-directional: sound becomes image, image becomes sound, and both translations expose the underlying structures that make a thing feel like itself. What interests me is the slippage between the original and the translation — what survives, what shifts, and what new meaning emerges when an experience is held up to a different set of senses.
Across both bodies of work, the through-line is the same: I am trying to capture how experience and the body's senses make memory and meaning. Whether I'm tracing the lines of a freeway or feeding a song through code, the work asks viewers to slow down and notice the structure beneath what feels like noise.
MFA, Jewelry / Metalsmithing / Enameling — Kent State University, 2006
BFA, Studio Art — University of Texas at Austin, 1998
naxthandxube(dot)art(at)gmail(dot)com