Tina Eliassi-Rad eliassi@cs.wisc.edu http://www.cs.wisc.edu/~eliassi or http://www.llnl.gov/CASC/people/eliassi-rad/ Affiliations: Lawrence Livermore National Laboratory & University of Wisconsin-Madison Title: Managing Large-Scale Scientific Data Abstract: With the advent of fast computer systems, scientists are now able to generate terabyte scale data sets. Unfortunately, the shear size of these data sets has made efficient exploration of the them impossible. The DataFoundry project aids scientists by providing a query infrastructure over the data. Our infrastructure reduces the data storage requirements and access times in two stages. First, we create and store mathematical and statistical models of the data. Second, we evaluate queries on the models of the data instead of on the entire data set. If time permits, I will briefly speak about my dissertation work, which was on building intelligent agents that learn to retrieve and extract information.