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Large Language Models for Predicting Survival in Non-Small Cell Lung Cancer from Pathology Reports
Project Lead: Jie Fu, UW Medicine Data Science Lead: Joseph Hellerstein Pathology reports contain detailed descriptions of tumor characteristics, but much of this information is unstructured text that is difficult to analyze with traditional methods. In this project, we explore how large language models (LLMs), advanced AI systems designed to understand and interpret human language,…
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Predictors of rehabilitation therapy intensity during skilled nursing facility stays
Project Lead: Rachel Prusynski, UW Medicine Data Science Lead: Curtis Atkisson Over a million Medicare beneficiaries receive nursing and rehabilitation therapy – physical therapy (PT), occupational therapy (OT), and speech language pathology (SLP) services annually in skilled nursing facilities (SNFs) after hospitalization. The goal of post-acute SNF care is to facilitate medical and functional recovery…
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HPyX: Bringing High-Performance Parallelism to Python
Partners: Hartmut Kaiser, Rod Tohid, Andrew Lumsdaine SSEC Engineers: Don Setiawan, Ayush Nag Research Goals and Domain HPyX bridges the gap between Python and high-performance computing by providing Python bindings for the HPX C++ Parallelism Library. HPX implements modern C++ concurrency and parallelism features, allowing for scalable execution across multi-core and distributed systems. HPyX leverages Python 3.13’s free-threading capabilities and Nanobind to expose these…
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Senator Patty Murray visits eScience after securing $10M in federal funding for AI infrastructure
We had the honor of hosting Senator Patty Murray at the eScience Institute after she secured $10 million in federal funds for AI infrastructure at UW. Senator Murray attended four research presentations powered by UW computing resources with practical applications ranging from environmental management to rural hospitals. Check out Geekwire’s coverage of the Senator’s visit…
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Agentic AI for Research Workflows: SSEC hosts AI Panel
This fall, the UW Scientific Software Engineering Center (SSEC) hosted a community-driven meetup during Seattle AI Week focused on how AI is reshaping research workflows in academia, industry, and startups. The meetup included a panel moderated by SSEC Head of Engineering Vani Mandava and featuring Bodhisattwa Majumder from AI2, Shamsi Iqbal from Microsoft, Luke Kim from Spice AI and Carlos Garcia Jurado Suarez from SSEC. Around sixty audience members listened as panelists discussed…
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Protein Design Pipeline: Standardizing Reproducibility
Partners: Andrew Hunt, Magnus Bauer, Jasper Butcher, Rohith Krishna, Saman Salike SSEC Research Engineer: Anant Mittal Research Goals and Domain The University of Washington Institute for Protein Design (IPD), led by Nobel Prize-winning Director David Baker, is a cutting-edge research center that creates entirely new proteins to address challenges in medicine, technology, and sustainability through the application of novel artificial intelligence tools and experimental science. Applications of…
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OVRO-LWA Platform: Driving Accessibility
Partners: Casey Law, Nikita Kosogorov, Tanazza Khanam, Tom Morrell SSEC Engineers: Cordero Core, Don Setiawan, Ishika Johari Research Goals and Domain The Owens Valley Radio Observatory, Long Wavelength Array (OVRO-LWA) is a low-frequency (15–85 MHz) all-sky radio telescope designed to detect and study phenomena such as auroral emissions from exoplanets, gravitational wave counterparts, cosmic-ray air showers, and the 21-cm signal from…
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Antenna: AI-Powered Entomology
Partners: David Rolnick, Michael Bunsen, Francis Pelletier, Anna Viklund, Mohamed Elabbas SSEC Engineers: Carlos Garcia Jurado Suarez, Bhagyashree Wagh Research Goals and Domain The Antenna project studies entomological biodiversity by deploying AI-powered camera trap data, machine learning algorithms, and scalable data platforms to drive image collection, identification, and monitoring across diverse ecosystems. Entomological biodiversity is crucial for healthy ecosystems due to their…
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CA Biositing Tool: Leveraging High-Resolution Data
Partners: Corinne Scown, Tyler Huntington, Peter Smith, Andrea Bailey, Meili Gong SSEC Engineers: Niki Burggraf, Don Setiawan, Vraj Rajpura Research Goals and Domain The BioCircular Valley project aims to develop sustainable products from agricultural waste by creating a publicly accessible interactive map that shows feedstock types and availability as well as estimating downstream fuel performance and environmental impact to facilitate the circular bioeconomy…
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The UW Scientific Software Engineering Center is now accepting pilot projects for AI workflows
The Scientific Software Engineering Center (SSEC) at UW provides researchers and scholars with access to professional software engineers using state of the art software and hardware to develop open-source, secure, robust, and sustainable software. SSEC software engineers solve challenging problems across a breadth of disciplinary domains by employing modern software development best-practices to build open source software at scale, leveraging cutting-edge technologies including agentic-AI, generative-AI, machine learning, cloud computing, scalable deployment optimization, and peta-scale data management. In collaboration with agencies and…