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Professor Jeffrey Heer and alumnus Dominik Moritz honored at IEEE VIS for outstanding contributions in data visualization

Heer (left) and Moritz
Professor Jeffrey Heer, who leads the Allen School’s Interactive Data Lab, and former student Dominik Moritz (Ph.D., ‘19), who was co-advised by Allen School adjunct professor and information science professor Bill Howe, were each honored for their impact on interactive visualization research at IEEE VIS 2020 this week, the flagship conference in the field of visualization and visual analytics. Heer received the IEEE InfoVis 10-Year Test of Time Award for his 2010 paper,… Read more →
October 30, 2020

Inspired by personal experience, Allen School student and ACM-W leader Nayha Auradkar is working to advance accessibility and inclusion both in and out of the lab

Our first undergraduate student spotlight of the new academic year features Nayha Auradkar, a junior from Sammamish, Washington who is majoring in computer science with a minor in neural computation and engineering. Auradkar currently serves as chair of the University of Washington chapter of the Association for Computing Machinery for Women (ACM-W), working to cultivate a strong, supportive community of women in the Allen School. In her leadership role, she hopes to increase programming, engagement and awareness among the… Read more →
October 26, 2020

Allen School’s Distinguished Lecture Series delves into the future of computing and its influence in our lives

Top row from left: Cory Doctorow, Scott Aaronson, Kunle Olukotun; bottom row from left: Brad Calder and Sarita Adve
Save the dates! Another exciting season of the Allen School’s Distinguished Lecture Series kicks off on Oct. 29. Join us to hear experts in technology activism, quantum computational supremacy, multi-chip processing, cloud infrastructure, and computer architecture. All lectures with the exception of the November 19th Lytle Lecture, will be live streamed on the Allen School’s YouTube channel at 3:30 p.m. Pacific… Read more →
October 20, 2020

Allen School professor Yin Tat Lee earns Packard Fellowship to advance the fundamentals of modern computing

Yin Tat Lee, a professor in the Allen School’s Theory of Computation group and visiting researcher at Microsoft Research, has earned a Packard Fellowship for Science and Engineering for his work on faster optimization algorithms that are fundamental to the theory and practice of computing and many other fields, from mathematics and statistics, to economics and operations research. Each year, the David and Lucile Packard Foundation bestows this prestigious recognition upon a small number of early-career scientists and engineers… Read more →
October 15, 2020

Allen School, UCLA and NTT Research cryptographers solve decades-old problem by proving the security of indistinguishability obfuscation

Allen School professor Rachel Lin helped solve a decades-old problem of how to prove the security of indistinguishability obfuscation (iO)
Over the past 20 years, indistinguishability obfuscation (iO) has emerged as a potentially powerful cryptographic method for securing computer programs by making them unintelligible to would-be hackers while retaining their functionality. While the mathematical foundation of this approach was formalized back in 2001 and has spawned more than 100 papers on the subject, much of the follow-up work relied upon… Read more →
October 12, 2020

Manaswi Saha wins 2020 Google Fellowship for advancing computing research with social impact

Manaswi Saha, a Ph.D. student working with Allen School professor Jon Froehlich, has been named a 2020 Google Ph.D. Fellow for her work in human computer interaction focused on assistive technologies and artificial intelligence for social good. Her research focuses on collecting data and building tools that can improve the understanding of urban accessibility and serve as a mechanism for advocacy, urban planning, and policymaking. Saha, who is one of 53 students throughout the world to be selected… Read more →
October 7, 2020

Garbage in, garbage out: Allen School and AI2 researchers examine how toxic online content can lead natural language models astray

Photo credit: Pete Willis on Unsplash
In the spring of 2016, social media users turned a friendly online chatbot named Tay — a seemingly innocuous experiment by Microsoft in which the company invited the public to engage with its work in conversational learning  — into a racist, misogynistic potty mouth that the company was compelled to take offline the very same day that it launched. Two years later, Google released its Smart Compose tool for Gmail, a feature designed to… Read more →
September 29, 2020

Vivek Jayaram and John Thickstun win 2020 Qualcomm Innovation Fellowship for their work in source separation

Vivek Jayaram (left) and John Thickstun
Allen School Ph.D. students Vivek Jayaram and John Thickstun have been named 2020 Qualcomm Innovation Fellows for their work in signal processing, computer vision and machine learning using the latest in generative modeling to improve source separation. In their paper, “Source Separation with Deep Generative Priors,” published at the 2020 International Conference on Machine Learning, the team addresses perceptible artifacts that are often found in source separation algorithms. Jayaram and Thickstun… Read more →
September 23, 2020

Allen School’s Jenny Liang combines compassion with technology for social good

Our latest Allen School student spotlight features Jenny Liang, a Kenmore, Washington native and recent UW graduate who majored in computer science and informatics. Liang was named among the Husky 100 and earned the Allen School’s Undergraduate Service Award for her leadership, compassion, and focus on developing technology for social good in her work with the Information and Communication Technology for Development Lab (ICTD).  This summer, Liang started an internship at the Allen Institute for Artificial Intelligence (AI2) after… Read more →
September 2, 2020

UW earns NSF grant to lead creation of Institute for Foundations of Data Science

Researchers at the University of Washington will lead a team of universities in creating the Institute for Foundations of Data Science (IFDS) to tackle important theoretical and technical questions in the field. Supported by a $12.5 million, five-year grant from National Science Foundation, IFDS is one of two institutes nationwide to receive funding from the latest phase of the agency’s Transdisciplinary Research in Principles of Data Science (TRIPODS) program. The IFDS — a collaboration between UW and the Universities… Read more →
September 1, 2020

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