Lector T.R. Nachtigall (Troy)

Professor of Fashion Research & Technology
Work address:
Benno Premselahuis, Rhijnspoorplein 1, 1091 GC Amsterdam
Postal address:
Postbus 35,1000 AA Amsterdam
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Troy Nachtigall is a highly experienced Designer and Design Researcher who leads research at the intersection of fashion and technology. He actively seeks out strategic partnerships that will play a crucial role in shaping the future of the textile, clothing, fashion, and footwear industries. Troy is a core member of the Erasmus+ Fashion and Textile Transitions project and the New Textile Ecosystems (New Texeco) Research Community. His practical background in Design and ICT fuels his passion for exploring the data-material relationship through wearable items.

As a Professor at Amsterdam University of Applied Sciences, he is lector of the Wearable Data Studio, which focuses on the computational fabrication of clothing, shoes, and accessories. Through this research, Troy and his team can delve into the complex adaptive ecosystem of fashion, with a particular focus on data management, design, manufacturing, and use. This has led to the development of physical, digital, and hybrid artifacts and toolkits that promote a material perspective and data-enabled ecosystem lifecycle frameworks.

Troy's research is rooted in the interplay between fashion, spatial design, and architecture, viewed through a digital lens. This inter-scaler foundation is strengthened by his experience as a fashion designer in New York City and Florence, where he worked with brands such as Hugo Boss, Panerai, and Calvin Klein.

Troy's ideas on data as a material have been refined through his research work as a Ph.D. fellow in the Marie Skołdowska-Curie action ArcInTexETN at Eindhoven University of Technology, within Philips Research, and the Design Research Lab of UdK Berlin. He has also refined his research as a Post-doc Researcher in Co-Design and Shape-Changing Objects and Spaces at Aarhus University and at TU/Eindhoven.

Go to Research database
Go to Research database