Category: Incubator Project

• Using Computer Vision to Understand Collective Navigation in Salmon

  

  Project Lead: Andrew Berdahl, UW School of Aquatic and Fishery Sciences and Ben Koger, University of Wyoming School of Computing and Department of Zoology and Physiology Data Science Lead: Valentina Staneva From daily foraging movements to long-distance migrations, animals often travel in groups, and their navigational decisions are influenced by those around them. Theory suggests that…

• 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…

• 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…

• 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…

• 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…

• 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…

• 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,…

• 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…

• Universe of IGOs: Measuring Heterogeneity and Distributions of Member States

  

  Project Lead: Jihyeon Bae, UW Political Science Data Science Lead: Curtis Atkisson Does having a diverse mix of member states make an inter-governmental organization (IGO) more or less cooperative? Scholars have long debated whether regime heterogeneity, especially variation in democracy levels, helps or hinders intergovernmental organizations (IGOs). Yet despite rich theoretical discussions, empirical findings remain…

• Creating a code base for on- and offline analysis of ultrafast X-rayspectroscopy data recorded at the chemRIXS instrument

  

  Project Lead: Amke Nimmrich, UW Chemistry Data Science Lead: Bryna Hazelton X-ray Free Electron Lasers help us more deeply understand the details of a chemical reaction. They are large scale facilities providing ultrashort pulses of X-ray light at high repetition rates. These light pulses can be used to observe reaction dynamics in real time (femto-…