Category: Incubator Project

• Polygenic and Contextual Determinants of Alzheimer’s Disease and Related Dementias

  

  Project Lead: Diane Xue, Institute for Public Health Genetics Data Science Lead: Bryna Hazelton One in three people over the age of 65 dies with dementia. The most common cause of dementia is Alzheimer’s disease (AD), a progressive neurodegenerative disorder influenced by genetic and environmental factors. Dozens of genetic loci have been linked to AD and related…

• Illuminating the role of cold-pools in structuring shallow convection

  

  Project Lead: Hauke Schulz, Cooperative Institute for Climate, Ocean, and Ecosystem Studies (CICOES) Data Science Lead: Bernease Herman Shallow convection, like the stratocumulus decks off the Washington coast, is responsible for a large portion of the uncertainty in climate projections, thus a better understanding of their processes is crucial. Advances in computational resources allow for ever increasing…

• What do the leaders say? Analysis of the United Nations General Debate Corpus

  

  Project Lead: Jihyeon Bae, Ph.D. Candidate, Political Science Data Science Lead: Valentina Staneva Every year, more than 200 state representatives open the United Nations General Assembly meeting with statements during the General Debate (UNGD). The UNGD speech floor provides a rare opportunity for all states to equally have their voices heard by a wide range of audiences.…

• Investigating germline genetic influence on somatic immune traits in non-cancerous tissues

  

  Project Lead: Tabitha Harrison, UW Epidemiology Faculty Advisor: Sara Lindström, Epidemiology Data Science Lead: Vaughn Iverson Cancer is a significant health burden in the US, causing substantial morbidity and mortality. This research project builds on past studies demonstrating that inherited genetic variants can influence how our immune system affects cancer risk and survival. While prior work has linked…

• Characterizing glacial lake outburst flood hazard at a regional scale using fused InSAR-speckle tracking surface displacement time series

  

  Project Lead: George Brencher, UW Civil & Environmental Engineering Data Science Lead: Scott Henderson Glacial lakes are distributed in alpine terrain worldwide and are frequently dammed by unstable glacial moraines. These moraine dams can fail, causing lakes to rapidly drain and flood downstream valleys. Glacial lake outburst floods (GLOFs) are a significant hazard for high-elevation infrastructure and…

• Investigating Structure of Social Science Research Datasets for Better ML Evaluation

  

  Project Lead: Bernease Herman, eScience Data Scientist Specialized machine learning architectures, such as deep learning, typically rely on inductive biases and other data-specific correlational structure information to produce more effective models. Similarly, the design and evaluation of differentially private synthesizers depends heavily on the correlational structure of the datasets most commonly used in the field. We…

• Wetland Communities in the US

  

  Project Lead: Celina Balderas Guzman, UW Assistant Professor of Landscape Architecture Data Science Lead: Spencer Wood Sea level rise threatens human communities on the coast with a variety of hazards including erosion and flooding. However, these risks are reduced in locations where coastal wetlands provide a natural buffer that absorbs the force of waves created by storms.…

• Characterizing the spatio-temporal evolution of marine heatwaves

  

  Project Lead: Cassia Cai, UW Oceanography Faculty Advisor: LuAnn Thompson, UW Oceanography Data Science Lead: Valentina Staneva Marine heatwaves (MHWs) are defined as discrete periods when local sea surface temperatures (SST) exceed a temperature threshold (e.g., a seasonally varying temperature threshold). A number of high-profile MHWs, such as the Great Barrier Reef 2002, Mediterranean Sea 2003 and 2006,…

• The Prototype of a Cloud Store for Distributed Acoustic Sensing Data

  

  Project Lead: Yiyu Ni, Earth and Space Sciences, UW College of the Environment Data Science Leads: Naomi Alterman and Rob Fatland Distributed Acoustic Sensing (DAS) is an emerging seismic observation method that has recently enabled entirely new types of geophysical observation. DAS utilizes repeated laser pulses along optical fibers up to ~100 km in length to measure phase changes…

• Constructing a robust metric of peak quality for untargeted mass-spectrometry

  

  Project Lead: Will Kumler, UW Oceanography Faculty Advisor: Anitra Ingalls, UW Professor of Chemical Oceanography Data Science Lead: Bryna Hazelton Mass spectrometry is a cutting-edge analysis field used to identify the molecular composition of samples taken from medical laboratories, the depths of the ocean, and even outer space. In the Ingalls Lab at UW, we use it to…