Professor Hanna Hajishirzi, a professor in the Natural Language Processing group and director of the Allen School’s H2Lab, and Yin Tat Lee, a professor in the Theory of Computation group, have been named 2020 Sloan Research Fellows by the Alfred P. Sloan Foundation. The program recognizes early-career scientists in the United States and Canada who are nominated and judged by their peers based on their creativity, leadership, and achievements in research.
“I am thrilled that the… Read more →
UW Reality Lab opens incubator to foster student innovation in augmented and virtual reality
AuraRing puts the power of electromagnetic tracking system on your finger
Five years on, remembering professor Gaetano Borriello
February 1 marked five years since the passing of professor Gaetano Borriello. Gaetano famously applied to only one program – ours – when he entered the academic job market in 1988 after earning his Ph.D. from the University of California, Berkeley. He spent the next 27 years on the Allen School faculty, six of those valiantly fighting the cancer that would eventually take him from us. Gaetano is one of several leaders, and dare we say, legends, whom the… Read more →
With Virtual Chinrest, Allen School researchers aim to make online behavioral research less WEIRD
Noelle Merclich works to make the Allen School experience a great one for incoming undergrads
From computer science to linguistics and kickboxing to baking, this month’s undergraduate student spotlight, Noelle Merclich, is driven to creating a welcoming environment in the Allen School, serving others and always being kind and compassionate. During a month when people are making and struggling to stick to new resolutions, the Maple Valley, Wa., native and junior computer science major resolved long ago to do her best and try new things every day.
Allen School: Why did you choose to… Read more →
Seeing the forest for the trees: UW team advances explainable AI for popular machine learning models used to predict human disease and mortality risks
Tree-based machine learning models are among the most popular non-linear predictive learning models in use today, with applications in a variety of domains such as medicine, finance, advertising, supply chain management, and more. These models are often described as a “black box” — while their predictions are based on user inputs, how the models arrived at their predictions using those inputs is shrouded in mystery. This is problematic for some use cases, such as medicine, where the patterns and individual… Read more →
Allen School’s Aditya Kusupati earns Best Paper Runner-Up at BuildSys 2019 for new low-power, deep learning algorithm for radar classification
A team of researchers that includes Allen School Ph.D. student Aditya Kusupati has developed a new low-power real-time solution for mote-scale (tiny sensor with a weak microprocessor) radar-based intruder detection. Their work has enabled the first end-to-end deep learning solution for radar classification and won the “Best Paper Runner-Up Award” at the Association for Computing Machiner’s 6th International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys 2019) last month.
With the rapid growth of the Internet… Read more →
Professional gaming inspired Allen School undergrad Kevin Ryoo to study computer science
In this month’s Undergrad Spotlight, we check in with a student who may need no introduction to gaming fans. Kevin Ryoo — a second year Allen School student who transferred from Highline College — built a career as a world champion gamer before deciding to study computer science. In fact, according to Ryoo, playing games all day every day inspired his academic pursuits to learn how to design and build software. As his education advanced, his interest in computer vision,… Read more →