Allen School researchers took home multiple Best Paper and Outstanding Paper Awards from the 61st Annual Meeting of the Association for Computational Linguistics (ACL) held in Toronto last month. Their research spanned a number of projects aimed at enhancing the performance and impact of natural language models, including how artificial intelligence (AI) processes humor, the impact of built-in political biases on model performance, AI-assisted cognitive reframing to support mental health, identifying “WEIRD” design biases in datasets and how to imbue language models with theory of mind capabilities. Read more →
In the days before single-cell RNA sequencing, researchers investigating the mechanisms and treatment of disease had to make do with running experiments on bulk cell profiles created by taking tissue samples and grinding them up. Nowadays, researchers can take measurements at the level of individual cells, enabling the exploration of such finer-grained distinctions and advancing our understanding of various biological functions. But without the right computational tools, even single-cell datasets can yield distinctions without a difference. In a paper published this week in Nature Methods, a team in the Allen School’s AIMS Lab led by professor Su-In Lee introduced ContrastiveVI, the first deep learning model designed for applying a powerful technique called contrastive analysis to single-cell data. Read more →
Shayan Oveis Gharan, a professor in the Allen School’s Theory of Computation group, combines all the essential ingredients of a trailblazing researcher who, as his colleagues will attest, also happens to be a genuinely nice guy. The combination has proved to be a genuine recipe for success, as he has racked up a series of accolades in theoretical computer science. His most recent honor, the Stephen Smale Prize from the Society for the Foundations of Computational Mathematics (FoCM), celebrated Oveis Gharan’s “breakthrough results on the applications of algebraic and spectral methods to the design of algorithms and to combinatorial optimization.” Read more →
There is an old saying that perception is everything, and with regard to human senses and computer models that attempt to demonstrate how human sensory systems work, everything is highly complex. This includes our system of visual perception, which allows humans to interact with the dynamic world in real time. Allen School Ph.D. student Linxing Preston Jiang and professor Rajesh Rao have developed a computational model to simulate how humans process visual information. Their paper, “Dynamic Predictive Coding Explains Both Prediction and Postdiction in Visual Motion Perception,” earned a Best Paper Award in the Perception and Action category at this year’s COGSCI conference. Read more →
The possibility of a greener future inspired Meghna Shankar to study alternative energy and help wean society off of fossil fuels. The recent Allen School alum, who also spent four years as part of the UW Symphony Orchestra, was named a 2023 Dean's Medalist in the Natural Sciences by the College of Arts & Sciences in recognition of her many scholastic achievements. Read more →
For faculty members who are at the start of their research journey, the National Science Foundation’s CAREER Awards are one of the most prestigious honors recognizing early-career scholarship and supporting future leaders in their respective fields. The latest Allen School recipients are no exception. From using machine learning to fight implicit bias to devising new architectures that bridge electronics and biology, here are eight rising stars who are advancing the field of computing at the University of Washington and reaching new heights. Read more →
On Friday, June 9, more than 4,000 family and friends from near and far gathered on the University of Washington campus to celebrate the Allen School’s 2023 graduates. The celebration commenced with a casual open house and meet-and-greet with faculty and staff in the Paul G. Allen Center and Bill & Melinda Gates Center. It culminated in a formal event in the Hec Edmundson Pavilion at the Alaskan Airlines Arena, where graduates made the brief journey across the stage to mark the start of a new journey as Allen School alumni. Read more →
Allen School undergraduate Michael Gu balances performing as a concert pianist with coding as a computer science student. The winner of the UW School of Music's annual concerto competition is using his creative talents, both in the classroom and beyond, to help his community. Read more →