Contributor

Ava Oppenheimer is a researcher and technologist based in London, specialising in 4D cloth simulation and physics applications. As founder of TryIto, her work integrates temporal dynamics, differential geometry, and machine learning to advance physically grounded, data driven models of cloth behaviour. Drawing on early studies in aerospace engineering and prior experience in AI technologies at Synthesia, she focuses on bridging simulation science and human–computer interaction. Her current research investigates time as a first class dimension in cloth modelling, contributing to emerging discussions on the convergence of physics informed neural networks and dynamic digital materiality.