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Enhancing LSTM streamflow modeling in data-scarce rain-dominated basins: the impact of using multiple precipitation products as model inputs
Project Lead: Hernán Querbes Duhart Data Science Leads: Nicoleta Cristea and Scott Henderson GitHub Repo Uruguay relies heavily on hydropower, with three dams along the Río Negro providing nearly half of the country’s electricity. Accurate streamflow modeling is therefore critical for dam operations and energy reliability. Machine learning, particularly Long Short-Term Memory (LSTM) networks, has…
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On testing hearing sensitivity across the animal kingdom more quickly and accurately
Project Lead: Aoi Hunsaker, Andrew Brown and Joseph Sisneros, UW Psychology Data Science Lead: Ariel Rokem I study what sounds animals can hear by recording brain responses while I play sounds over a speaker. This kind of test is called the Auditory Evoked Potential (AEP) test. There is a need in my field to do these recordings…
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HuskyFetch API
Project Leads: Jason Civjan, Zahra Taher, Adelin Ma, and Maeve Seyer, UW IT Data Science Lead: Curtis Atkisson UW-IT’s Student Innovation Lab (SIL) is dedicated to helping UW students from all disciplines explore solutions to problems facing the UW community. We provide access to UW data, resources, and consultations to support fast, effective, and responsible…
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Longitudinal Uptake Patterns in Patients with Grade 1-2 Well-Differentiated Gastroenteropancreatic Neuroendocrine Tumor on Long-Acting Somatostatin Analogs
Project Lead: Ai Phuong S. Tong, UW Medicine Data Science Lead: Curtis Atkisson Our project explored how a specialized imaging technique called somatostatin receptor (SSTR) positron emission tomography (PET) changes over time in patients with neuroendocrine tumors, a type of slow-growing cancer that often affects the gastrointestinal system. These scans help doctors visualize tumors by…
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Retinal Circuit Model for Color Vision
Project Leads: Kathryn Tabor and Jay Neitz, UW Medicine Data Science Lead: Noah Benson You pick a ripe, red strawberry outside in the bright sunshine, and shortly thereafter the same fruit still appears the same shade of red in the dimly-lit kitchen, even though the spectrum of light reaching the eye has changed dramatically. Color…
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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…