Danielle BraggView profile
Assistant Professor
Danielle Bragg is an Assistant Professor in the Paul G. Allen School of Computer Science & Engineering at the University of Washington, specializing in accessibility research with a focus on technologies for deaf and hard-of-hearing communities. Her work bridges human-computer interaction, computer vision, and inclusive design to create practical solutions for sign language recognition, translation, and communication accessibility. Her research interests center on making technology accessible through innovative approaches to sign language processing, assistive communication systems, and inclusive design methodologies. She investigates how to build robust sign language recognition systems that work in real-world settings, addresses bias in AI models for sign language understanding, and develops community-centered approaches to dataset collection. Her work particularly emphasizes involving the Deaf community in the research and development process to ensure technologies meet actual needs. Dr. Bragg's publication record shows a consistent trajectory from her PhD work at the University of Washington (2018) through to current research in 2025, with increasing leadership in the field of accessibility technology. Her recent work explores cutting-edge applications of AI for sign language processing, gaze-based interfaces, and systematic analysis of how large language models are transforming human-computer interaction research. Her collaborative approach is evident in her extensive co-authorship network, working with both technical researchers and community stakeholders to advance the field of accessibility technology through interdisciplinary partnerships.












