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
Mostafavi Lab
The Mostafavi Lab develops machine learning and statistical methods that combine evidence across multiple types of molecular/genomics data and disentangle spurious from meaningful correlations for new insights into mechanisms of health and disease.
H2 Lab
The H2 Lab addresses foundational problems in Artificial Intelligence and Natural Language Processing to develop general-purpose AI algorithms that represent, comprehend, and reason about diverse forms of data at large scale.
Allen School Faculty
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Centers & Initiatives
MEM-C is a NSF Materials Research Science and Engineering Center that integrates materials innovations with theory and computation to advance spin-photonic nanostructures and elastic layered quantum materials, aided by an “AI Core” that integrates artificial intelligence-driven materials discovery.
Computing for the Environment (CS4Env) at the University of Washington supports novel collaborations across the broad fields of environmental sciences and computer science & engineering. The initiative engages environmental scientists and engineers, computer scientists and engineers, and data scientists in using advanced technologies, methodologies and computing resources to accelerate research that addresses pressing societal challenges related to climate change, pollution, biodiversity and more.
Highlights
UW News
Researchers in the Allen School’s Mobile Intelligence Lab developed VueBuds, the first system that incorporates tiny cameras in off-the-shelf wireless earbuds as a less-intrusive, more privacy-preserving alternative to smart glasses.
Allen School News
The ACM Special Interest Group on Computer-Human Interaction (SIGCHI) recently honored Froehlich (Ph.D., ‘11) for his work to improve pedestrian infrastructure across the globe and tackle a range of other accessibility challenges using AI and HCI.
NBC News
In a paper appearing at ICLR, Allen School professor Natasha Jaques and colleagues explore how AI models used for writing and editing may be doing a lot more than a simple grammar check — even going so far as to override a human writer’s voice, style and meaning.