CRD Researchers Named Data Science Fellows
July 18, 2014
Five researchers in Berkeley Lab’s Computational Research Division have been named Berkeley Institute for Data Science (BIDS) fellows.
As a Data Science Fellow, Daniela Ushizima will receive funding to explore Data, Information, Science and Computing (DISC) issues, specifically those that involve connecting diverse domain sciences to analytics tools. As Data Science Senior Fellows, Deb Agarwal, Wes Bethel, Peter Nugent and James Sethian will contribute their extensive expertise in data science approaches—honed over decades of research and collaboration—to advise about BIDS initiatives.
Founded in fall 2013, BIDS is part of a five-year collaborative effort between UC Berkeley, the University of Washington and New York University to dramatically accelerate the growth of data intensive discovery in a broad range of fields. The Gordon and Betty Moore Foundation and Alfred P. Sloan Foundation support this work with a $37.7 million award.
Complete list of fellows: http://vcresearch.berkeley.edu/datascience/people
More about BIDS: http://vcresearch.berkeley.edu/datascience/overview-berkeley-institute-for-data-science
About Berkeley Lab
Founded in 1931 on the belief that the biggest scientific challenges are best addressed by teams, Lawrence Berkeley National Laboratory and its scientists have been recognized with 16 Nobel Prizes. Today, Berkeley Lab researchers develop sustainable energy and environmental solutions, create useful new materials, advance the frontiers of computing, and probe the mysteries of life, matter, and the universe. Scientists from around the world rely on the Lab’s facilities for their own discovery science. Berkeley Lab is a multiprogram national laboratory, managed by the University of California for the U.S. Department of Energy’s Office of Science.
DOE’s Office of Science is the single largest supporter of basic research in the physical sciences in the United States, and is working to address some of the most pressing challenges of our time. For more information, please visit energy.gov/science.