J. Nathan Kutz

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Discover How AI is Utilized Across UW

By: Louisa Gaylord

Earlier this week, the eScience Institute co-hosted Discovering AI@UW, an event that brought together artificial intelligence experts from across the University of Washington campus to discuss their projects and how they intersect. Over 180 people attended the event, both streaming online via zoom and in person in the Lyceum Room of the Husky […]

  • A graphic from the cover of the book "Dynamic Mode Decomposition: Data-Driven Modeling of Complex Systems"

eScience fellows co-author data analysis book

By Robin Brooks
Four University of Washington instructors, including three eScience Institute fellows, have co-authored the new book Dynamic Mode Decomposition (DMD): Data-Driven Modeling of Complex Systems. Senior data science fellow J. Nathan Kutz (applied mathematics, physics and electrical engineering) and fellows Steven L. Brunton (mechanical engineering and applied mathematics) and Bingni W. Brunton (biology), along with Joshua L. Proctor (Institute for Disease […]