معرفی
Jenny Lin is an Assistant Professor at the University of Utah's Kahlert School of Computing, specializing in computational fabrication and textile manufacturing. Her research bridges computer science with mathematics, focusing on algorithmic design for textile fabrication processes. She holds a PhD from Carnegie Mellon University (CMU) and a B.E. in Computer Science and Molecular Biology from MIT. Before joining Utah, she was a postdoctoral scholar under Cem Yuksel at Utah, advised by James McCann during her PhD.
Research interests include formalizing knit object equivalence via knot theory, machine knitting compilers, and robotic fabrication optimization. She actively seeks students interested in graphics, textiles, and mathematical modeling. Teaching experience includes serving as a TA for CMU's Computational Photography course and guest lecturing on algorithmic textiles at CMU and the University of Washington.
- PhD: Carnegie Mellon University (Computer Science)
- B.E.: Massachusetts Institute of Technology (Computer Science & Molecular Biology)
Her work has been recognized with a Best Conference Paper nomination at ICRA 2021. She co-runs the University of Utah's Graphics Seminar and maintains the Textiles Lab's Knitout Office Hours program at CMU, offering machine knitting instruction.
