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Mixed Media Art
Alcohol Inks on Layered Paper - New Stained Glass Method
Handmade Ink Print 1 - Wide Shot
Stemless Wine Glass, Blue Lapis
Alcohol Inks on Layered Paper - New Stained Glass Method
1/12
Printmaking & Glass
Challenging myself to learn new skills and make things with my hands is important to me! I have dabbled in glassblowing (stemless wine glasses and Swedish bowls), stained glass, and cyanotype printmaking. There is something so satisfying about creating unique pieces to use and display, and it gives me a deeper appreciation of the effort that goes into producing objects most people interact with every day.
Most recently I took a class with international artist Rita Howis in Copenahgen and fell in love with Alcohol Ink Printmaking! She taught her colorflow technique and we had time to experiment freely - I got creative with my approach and loved tilting the page to create gilded tributaries inspired by aerial landscapes on other planets.
Fashion
Envelope Bags & Passport Holder
Work in Progress
Raw Rolls
Envelope Bags & Passport Holder
1/6
Leatherwork
There is no better gift to one's self than learning a new skill. For my 30th birthday, I took myself on a solo trip to Vienna & Budapest (see the highlights here) and tried my hand at leathercrafting! The Budapest DIY Bar had incredible tutorials and customizable options for patterning. I worked with the instructors to make two unique envelope bags and a passport holder that looks like a happy porpoise - let's say the latter was intentional. Working with leather is so satisfying, and now that I have a hang of the basics and some exposure to the engineering, I plan to combine my loves of thrifting and crafting to turn upcycled leather into custom art pieces.
Photo Restoration
Margaret on her Throne
Hilltop Picnic
Captain Regan and his Company
Margaret on her Throne
1/10
1918
​An unassuming shoe box I found in a closet turned out to be full of photos my Great-Grandmother Miriam took in New England over 100 years ago. She never had the chance to fly in a plane or travel to distant lands - she survived both World Wars, the Great Depression, 18 different Presidents, the Space Race, and the birth of the Internet.
She never had any formal training or high end equipment (just a classic Brownie), but her visions and ability to capture human expressions and slivers of daily life were remarkable. Many of these photos were torn, grainy, and barely clinging to their crumbled construction paper backing; I was able to digitally repair damage and bring back out some of the richness of the silver tones.
Midjourney: Surreal Interiors
Portal Vanity
Moss Lounge
Walnut Spiral Shell Matte Leather Headboard AU
Portal Vanity
1/14
AI Renderings
Artificial intelligence is already embedded into so many facets of our lives, and it's important to use ethically and responsibly...once the privacy basics are covered, a world of possibilities opens!
I personally don't generate images of people or use references to living artists in my prompts because I believe in paying designers fairly for their work. My strategy is to use descriptive prose and speculative futurist references to imagine stylish and surreal rooms. Specifically, I like to iterate luxurious hotels and hideaways on other planets or dimensions, beautiful backstage dressing rooms for interstellar performances, and creative interiors that may or may not be physically possible to build on Earth.
I recently attended the AI in Business conference at MIT and left with 16 pages of notes, curiosity and cautious optimism, and some lingering questions about design and ethics: ​
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Currently, the concept of trust in Artificial Intelligence is focused on lack of errors and percentage of accuracy...but in humans, trust isn't the absence of a negative, but the presence of something positive or earned. Could Al ever be proactive about earning human trust, or is that impossible to code?
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If history is told from the perspective of the victors and Al collates existing resources...which voices are not reflected in generative content models? What perspectives are lost when outputs are only as good as the learning models and inputs?
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