ABOUT
Abby Keul
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I reduce textile waste and meterage in the design stage of production-grade pattern development.
Designers lead with their functional and aesthetic constraints and our projects make use of a range of strategies that increase a pattern's cut layout efficiency.
Micro design decisions, grade rules, fabric constraints, and cut plans all add up to determine cut layout efficiency. My goal is to guide design teams toward a range of efficient design permutations, prioritizing original pattern integrity and the overall design vision.
Currently, I am using machine learning tools to detect efficient feature combinations and building custom API tools for commercial pattern cutting software to enable design-for-layout workflows with designer feedback.
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Education/ Professional Development
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UK Global Talent Visa, Fashion Design, 2025
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Materialise Innovation Programme
Blue Garage, London, UK, 2025
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AI for Product and Service Design certification
Massachusetts Institute of Technology, 2025
Google Data Analytics certification program, 2025
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M.A. Fashion Design
Cambridge School of Visual and Performing Arts, 2023
Zero and Low Waste Design for Automation specialism
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A.A. Apparel Technology
Minneapolis College, 2021
Zero and Low Waste Design specialism
MCTC Foundation Scholar, Lionheart Scholar
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B.A. Philosophy
University of Minnesota, 2010
Spatial Logic specialism
Woodbridge Scholar for Excellence in Philosophy
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Occupation
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Head of Impact, 2023 - Present
Weffan 3D weaving garment design
Studio and Production Manager, 2022 - 2024
Bespoke Design, 2024 - Present
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Head Pattern Cutter/Tech Designer, 2020 - 2022