Jason Armitage

Jason Armitage is a Researcher in the Department of Computational Linguistics at the University of Zurich, specializing in multimodal machine learning and embodied AI within the Language, Technology, and Accessibility team. His work bridges virtual environments, accessibility technologies, and cross-modal reasoning.

His academic background includes:

• Cognition and Computation from University of London, Birkbeck
• Data Science from University of Stirling
• Machine Learning studies at UC San Diego

Armitage's research centers on aligning visual and linguistic inputs for embodied AI systems, with current projects enhancing scientific data accessibility through cross-modal formats and applying nonlinear time series modeling to 3D scene editing. His methodology integrates multimodal fusion techniques with embodied cognition principles to develop more intuitive human-AI interactions.

Publications from 2020-2025 reveal consistent advancement in multimodal learning frameworks, particularly in vision-language navigation systems and multilingual multimodal benchmarks. Key innovations include trajectory planning algorithms using feature-location cues and novel architectures for multitask learning across diverse language-modalities.

Professional experience spans research at the University of Bonn and industry roles at BBC and Disney, where he developed digital video services, games, and mobile applications. He actively contributes to the Language, Technology, and Accessibility team's mission of creating inclusive technological solutions through computational linguistics.