Artist Interview: Shiying Dong
We are thrilled to introduce you to textile artist Shiying Dong!
I first met Shiying at this year’s Vogue Knitting Live (VKL) in NYC. As a visiting artist, she was setting up her booth while we were busy assembling ours. I remember standing amidst a sea of unopened boxes, feeling that familiar wave of How is this all going to come together? when I heard the sweetest voice behind me say hello.
I turned around and met Shiying. From the very first moment, her presence felt warm and calming—she exudes kindness.
She introduced herself with a gentle smile: “I am a textile artist.” As we chatted, she shared a bit about her topological crochet work, mentioning that she incorporates Quince Lark into her pieces. I was immediately drawn in by her passion and artistry. Before I knew it, I had wandered over to her booth, completely captivated by her stunning creations—all brought to life in Lark.
I’m excited to share a short interview I had with Shiying, and I invite you to take a moment to discover more of her work.
xo Peg
P.S. If you’re an artist who incorporates Quince yarn in your art, please say ‘hi’ and drop me a line at peg@quincandco.com. We would love to feature your work.

Shiying Dong is a pioneering fiber artist who merges mathematics and art through abstract sculpture. With a theoretical physics and mathematics background, Shiying developed Topological Crochet, a groundbreaking style that translates algebraic topology concepts into yarn sculpting.
Shiying teaches workshops at the National Museum of Mathematics and has led sessions at the Bridges conferences. Her work has been showcased at Bridges and the Joint Mathematical Meetings. Her work, Saddle Monster, won the Best Textile, Sculpture or Other Medium award in the JMM 2025 Mathematical Art Exhibit. Shiying shares her techniques on YouTube and is co-authoring Unravelling Topological Crochet with fellow math artist Eve Torrence.
Expanding her creative horizons, Shiying explores laser cutting, earning the prestigious 2023 Einstein Mad Hat Award Grand Prize.