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.
Adjunct & Emeritus Faculty
Accessible Accordion
Areas of Expertise
Societal Impact
Results will appear in alphabetical order.
Adjunct Faculty
Adjunct Faculty
Adjunct Faculty
Adjunct Faculty
Adjunct Faculty
Adjunct Faculty
Adjunct Faculty
Adjunct Faculty
Adjunct Faculty
Emeritus Faculty
Emeritus Faculty
Adjunct Faculty
Adjunct Faculty
Adjunct Faculty
Adjunct Faculty
Adjunct Faculty
Adjunct Faculty
Adjunct Faculty
Adjunct Faculty
Adjunct Faculty
Adjunct Faculty
Adjunct Faculty
Adjunct Faculty
Adjunct Faculty
Adjunct Faculty
Adjunct Faculty
Adjunct Faculty
Emeritus Faculty
Highlights
Allen School News
In December, Feng was named among the 2026 class of NVIDIA Graduate Fellows in recognition of his work on model collaboration, where “multiple AI models, trained on different data, by different people, and thus possess diverse skills and strengths, collaborate, compose and complement each other.”
Institute for Foundations of Data Science
The International Conference on Artificial Intelligence and Statistics (AISTATS) recognized Jamieson for his 2016 paper underpinning an approach to hyperparameter optimization that has been widely adopted within the machine learning community.
Allen School News
Multiple Allen School authors received Best Paper Awards or honorable mentions for their work on interactive systems that enable more flexible human-AI agent collaboration, an AI-based tool that helps screen-reader users make sense of geovisualizations, and more.