Observing the cosmic dawn

HERA, under construction in 2018

We have developed one of the world’s most precise data analysis software suites to achieve the unprecedented spectral-spatial dynamic range needed to see the first stars and galaxies.

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Fake profiles detection on online social networks

Graphic, Springer.com

A team of researchers, including Michael Fire, UW eScience Institute postdoctoral research fellow, has developed a machine learning solution to detect fake users on social networks. The research uses a generic unsupervised algorithm to improve the safety of these networks.

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Shifts in marine microbial populations detected using statistical machine learning

Coverage of the SeaFlow data used in the change-point analysis. Black lines denote individual research cruise tracks and the heat-map shows the estimated quantity of chlorophyll at each spatial location based on satellite data.

The SeaFlow cytometer continuously profiles microbial populations across thousands of kilometers of the ocean surface during research cruises. The ‘multiple change-point detection’ method developed by a University of Washington team including eScience affiliates can detect changes in scatter and fluorescence properties in these large datasets within seconds by using a dynamic programming algorithm.

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