Emily Fox, eScience Institute data science fellow, has won the 2017 Presidential Early Career Award for Scientists and Engineers. Fox, associate professor of statistics and of computer science and engineering, and Amazon Professor of Machine Learning, was nominated by the National Science Foundation “for her groundbreaking work in large-scale Bayesian modeling and computational approaches to time series […]
Cecilia Aragon, professor of Human Centered Design & Engineering and an eScience Institute senior data science fellow, has been conferred the distinguished Fulbright Award. Dr. Aragon will travel to the Universidad Técnica Federico Santa María in Valparaiso, Chile, in 2018, where she will conduct research on human-centered data science and social media analysis with Chilean scholars and teach […]
On January 17 – 18, leaders and innovators from academic and governmental backgrounds will gather at the MetroLab Workshop on Big Data and Human Services to discuss common challenges and propose collaborative, data-driven solutions to human service issues. The workshop, co-sponsored by the eScience Institute, Urban@UW, the MetroLab Network, the City of Seattle and others, […]
eScience Data Science Fellow Rob Fatland is featured in a story on the UW Information Technology website. Fatland, UW director of cloud and data solutions, helped graduate student Timothy Durham to reduce the time spent processing his genome sequencing data, and also assisted in freeing up Durham’s department’s server resources as well.
More from the article: “Fatland said […]
A new book by Jake VanderPlas, eScience Insitute’s director of research in physical sciences, was published in Nov. 2016 by O’Reilly Media. The Python Data Science Handbook is a detailed guide to the most important Python tools for data science, covering IPython, Jupyter, NumPy, Pandas, Matplotlib, Scikit-Learn, and other tools.
Along with its free companion project, A Whirlwind Tour of Python, […]
The University of Washington’s eScience Institute hosted its first Geohackweek Nov. 14 – 18, 2016. Inspired by AstroHackWeek and Neurohackweek, the conference combined tutorials with group work (“hacks”) on computational projects in geospatial sciences.
With the help of 15 instructors, the event offered training in open-source vector and raster processing, multidimensional array analysis, data visualization, remote dataset access and cloud […]
Sham Kakade, senior data science fellow, and Zaid Harchaoui, data science fellow, are part of a UW team that has developed MusicNet, a “classical music dataset … which enables machine learning algorithms to learn the features of classical music from scratch.”
According to a UW press release, “MusicNet is the first publicly available large-scale classical music dataset with […]
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 […]