Skip to content

News & Events

Latest News

Stories about the Allen School’s people, research and impact. 

At the Allen School’s Research Showcase and Open House, school leaders celebrated the work of faculty and student researchers — and offered a blueprint for collaboratively tackling a set of human-centered problems for even greater impact.

Professors Simon Shaolei Du and Ranjay Krishna, and Sewon Min (Ph.D., ‘24), now faculty at University of California, Berkeley and a research scientist at Ai2, were honored by MIT Technology Review for their work in AI, large language models, computer vision and more.

Kasikci was recognized for his work developing techniques for systems that are both efficient and dependable, which can help prevent bugs that can lead to data loss, security vulnerabilities and costly critical infrastructure failures.

The institute, which is housed in the Information School, leverages expertise from the Allen School, Foster School of Business and other collaborators to advance meaningful employment opportunities and career experiences for neurodivergent people.

Mahajan (Ph.D., ‘05) was recognized for his work on Batfish, an open source network configuration analysis tool that helps find errors and prevent costly outages that could disrupt air travel, banking, communications and more.

Asai (Ph.D., ‘25), research scientist at Ai2 and incoming faculty at Carnegie Mellon University, was recognized for her pioneering research that has helped establish the foundations for retrieval-augmented generation (RAG) and showcase its effectiveness at reducing LLM hallucinations.

Allen School researchers earned multiple awards at the 63rd Annual Meeting of the Association for Computational Linguistics for laying the foundation for how AI systems understand and follow human instructions, exploring how LLMs pull responses from their training data, and more.

In her new book “Digital Culture Shock: Who Creates Technology and Why This Matters,” Reinecke examines how culture shapes the design and use of technology — and why we should resist a one-size-fits-all approach.

Winners Andrew Alex and Megan Frisella aim to advance research in user-scheduled programming languages, while fellow Allen School winner Zixian Ma and UW ECE collaborator Yushi Hu will develop multi-modal AI agents capable of performing complex tasks.

In an article in Nature Reviews Bioengineering, members of the AIMS Lab led by Allen School professor Su-In Lee discuss how explainable AI techniques are essential for ensuring accuracy and trust in AI models used in clinical settings.