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Gordon and Betty Moore Foundation Awards Data Science Grant to Carnegie Mellon Researcher


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Carl Kingsford, associate professor in the Lane Center for Computational Biology at Carnegie Mellon University.

Carl Kingsford, associate professor in the Lane Center for Computational Biology, has received the Gordon and Betty Moore Foundation's Moore Investigators in Data-Driven Discovery award.

Credit: Carnegie Mellon University

The Gordon and Betty Moore Foundation has named Carnegie Mellon University professor Carl Kingsford a Moore Investigator in Data-Driven Discovery. The honor includes a five-year, $1.5-million grant that will be used to develop better ways to search huge amounts of DNA and RNA sequencing data. Kingsford is the director of the Lane Center for Computational Biology.

"Science is generating data at unprecedented volume, variety, and velocity, but many areas of science don't reward the kind of expertise needed to capitalize on this explosion of information," says Chris Mentzel, program director of the Data-Driven Discovery Initiative. "We are proud to recognize these outstanding scientists, and we hope these awards will help cultivate a new type of researcher and accelerate the use of interdisciplinary, data-driven science in academia."

Earlier this year, Kingsford and a collaborator at the University of Maryland announced Sailfish, a new computational method that dramatically speeds up estimates of gene activity from RNA sequencing data.

The latest Data-Driven Discovery Awards, which total $21 million to 14 recipients, are part of the foundation's five-year, $60-million Data-Driven Discovery Initiative to help unlock new types of knowledge and advance new data science methods.

From Carnegie Mellon News (PA)
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Abstracts Copyright © 2014 Information Inc., Bethesda, Maryland, USA


 

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