Allen School researchers are at the forefront of exciting developments in AI spanning machine learning, computer vision, natural language processing, robotics and more.
We cultivate a deeper understanding of the science and potential impact of rapidly evolving technologies, such as large language models and generative AI, while developing practical tools for their ethical and responsible application in a variety of domains — from biomedical research and disaster response, to autonomous vehicles and urban planning.
Groups & Labs
UbiComp Lab
The Ubiquitous Computing (UbiComp) Lab develops innovative systems for health sensing, low-power sensing, energy sensing, activity recognition and novel user interface technology for real-world applications.
Graphics & Imaging Lab (GRAIL)
The work of the Graphics & Imaging Laboratory spans computer graphics, computer vision, generative AI, computational photography, virtual reality, animation and games.
Faculty Members
Centers & Initiatives
The Institute for Medical Data Science (IMDS) is a joint effort among the Schools of Medicine and Public Health and the College of Engineering, including the Allen School to lead the development and implementation of cutting-edge AI and data science methods in medical data science. By harnessing the power of AI across diverse health determinants, IMDS aims to improve patient health, provider satisfaction, and healthcare operations, particularly in the Pacific Northwest region.
The interdisciplinary DUB group at the University of Washington advances research, collaboration and teaching related to the interaction between design, people, and technology.
Highlights
University of Washington Magazine
Allen School Ph.D. student Kate Glazko and her collaborators at UW CREATE explore how generative technologies can be both a help and a hindrance for people with disabilities.
UW News
A team in the Mobile Intelligence Lab developed Spatial Speech Translation to enable simultaneous translation in group conversations while preserving the direction and qualities of each person’s voice.
Allen School News
The ACM Special Interest Group on Computer-Human Interaction recognized Fogarty’s leadership and contributions to human-computer interaction research including ubiquitous computing, interactive machine learning, accessibility and personal health informatics.