Department of Computer Science and the College
Aaron Elmore’s research focuses on simplifying data management needs. Data is increasingly at the core of everything we do (e.g., data driven science, smart cities, e-commerce, smart devices), and big data is used to make sense of complexities. Big data is inherently diverse, requiring multiple tools to manage it. As part of the Big Data Analytics Working Group (BigDaWG), a project run by Intel Science and Technology Center for Big Data, Elmore works to build a system that can integrate such tools. His research explores how to simplify the management and selection of databases by making them self-managed and adaptive, to allow users to analyze data for the purpose of drawing knowledge from information.
His research has been published extensively in the proceedings of such top database conferences as the Association for Computing Machinery Special Interest Group on Management of Data (SIGMOD) and the International Conference on Very Large Data Bases (VLDB). He is currently co-chair for SIGMOD 2016’s demonstration track.
Elmore earned an MS from the University of Chicago and a PhD from the University of California, Santa Barbara. He completed a postdoctoral fellowship at the Massachusetts Institute of Technology.