'Real' Bubbles

Art / Architecture / Design

In my work, I strive to blur the lines between art, architecture, and design, creating spaces and objects that are not only functional but also deeply inspiring and thought-provoking. Each piece I create is a reflection of my commitment to pushing the boundaries of conventional design and exploring new possibilities through innovation and creativity.

My journey as a designer has been marked by a dedication to craftsmanship and a passion for integrating technology with traditional artistic practices. The glass sculpture featured above is a testament to this approach, blending intricate artistry with modern techniques to produce a work that is both visually stunning and conceptually rich.

Whether I am designing a building, creating a piece of art, or developing a functional product, my goal is always to elevate the human experience. I believe that great design has the power to transform our surroundings and, in turn, influence our lives in meaningful ways.

This portfolio showcases a selection of my projects across various domains, highlighting the diversity and depth of my work. From large-scale architectural endeavors to intimate artistic creations, each project embodies my core philosophy: to create with purpose, passion, and an unwavering attention to detail.

Explore the projects below to discover how I bring together art, architecture, and design to create spaces and objects that resonate on a deeper level.

Art into Architecture

By using original works of art as reference images for generative AI I am able to infuse the complex layers of meaning and symbolism expressed in the artwork into the architectural expressions generated by AI. The artwork can be as minimalist and simple or as complicated and dense as the prompt requires. Additionally, the degree to which the generative AI model(s) can deviate from this source material can also be manipulated to render a wide variety of results.

Generative AI Training

A key concept explored in my research is the impact of influence. Obviously, generative AI models are trained on massive amounts of data, but what influences are given priority and when they are introduced in the process also matters. This is a sample of an image generated by combining three different AI models, each trained with sample works from three influential artist/architects: Giovanni Battista Piranesi, Etienne-Louis Boullee, and Hugh Ferriss. These AI models were given a photo of the oil on canvas diptych I painted (pictured opposite) as a reference.

Text to Image to Text to Script to 3D Model to Image

I asked OpenAI's Dall-E to generate an image that represents "mesomenal" architecture (a term I created and discussed at length with ChatGPT-4). In short, this phrase is intended to represent that space between what is possible (noumena) and what is ultimately realized (phenomena).

This image is taken directly from Rhino 7 and it is the result of a python script written by a custom GPT I created with OpenAI. The python script was generated from an AI generated text description of the image above. Everything visible here was modeled in Rhino via said python script.

This image is the result of applying my Ferriss, Boullee, and Piranesi AI models (on Lookx.ai) to the Rhino view pictured above. No additional text prompt was given.

Alternatively, this image was created directly from the AI generated text description.