Project Lead: Amelia Keyser-Gibson, UW Environmental and Forest Sciences Data Science Leads: Noah Benson and Bernease Herman  The Climate Ready Vines project is a multi-state collaborative research effort to evaluate and monitor potential energy saving, water use, ecological, physiological and horticultural characteristics of vine plants across different climates and latitudes in the Western U.S. Vine taxa…

Project Lead: Shirin Khanam, Jessica Chong, and Allison Marcello, UW Pediatrics Data Science Lead: Bernease Herman Rare genetic disorders affect 263-446 million persons or ~3.5–5.9% of the worldwide population, and the vast majority of these persons have a Mendelian condition (MC). Over 4,500 genes underlie one or more of the 6,000 MCs described to date, and…

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…

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…