Monthly Archives: November 2016

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

eScience fellows co-author data analysis book

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 Modeling, applied […]

  • A collage of four square portraits featuring the postdoctoral fellows

Welcoming the fall 2016 data science postdoctoral fellows

Four researchers recently joined the eScience Institute’s as Moore/Sloan Data Science and Washington Research Foundation Innovation in Data Science Postdoctoral Fellows, each from different backgrounds and departments. Michael Beyeler (neuroengineering), Yi Cao (astronomy, computer science and engineering), Eurika Kaiser (mechanical engineering, mathematics), and Dongfang Zhao (computer science, statistics) comprise the new cohort selected for the two-year program. […]

  • A group of people dressed warmly on top of a rooftop

2016 Moore-Sloan Data Science Summit

More than thirty eScience Institute staff, faculty, post-doctoral fellows and graduate students attended the 2016 Moore-Sloan Data Science Summit October 23 – 26. The summit, held in New Paltz and New York City, New York, brought together about 150 total participants to explore the fields of academic data science.

The event was hosted by the Data Science […]

November 2nd, 2016|Categories: News|Tags: , |