Li Receives $1.2M for Data-Driven Science

November 11, 2014


Feifei Li, an associate professor in the University of Utah’s School of Computing, received a $1.2M grant from the National Science Foundation (NSF) as part of the Data Infrastructure Building Blocks (DIBBs) program.

Among other impacts, Li’s research will address a longstanding challenge with conventional databases: How do we efficiently query and analyze extremely large datasets organized around time and space?

Li’s award is part of the NSF’s $31M investment in the development of infrastructure and building multi-institutional partnerships nationwide, designed to increase the number of U.S. data scientists while “augmenting the usefulness and ease of use of data.”

Li is the principal investigator of this DIBBs project, titled “STORM: Spatio-Temporal Online Reasoning and Management of Large Data.” He says this new funding will be used to expand upon previous work in his group on building an automatic query engine for large heterogeneous data.

Read the NSF press release here

Learn more about the Li Research Group

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