Jennie Rogers is an assistant professor in computer science at Northwestern University. Before that she was a postdoctoral associate in the Database Group at MIT CSAIL where she worked with Mike Stonebraker and Sam Madden. She received her Ph.D. from Brown University under the guidance of Ugur Cetintemel. Her research interests include the management of science data, federated databases, cloud computing, and database performance modeling. Her Erdös number is 3.
I am looking for graduate and senior undergraduate students to work on research projects. If you are Northwestern student and are interested in working with me, please drop me a line to set up an appointment. Please include a brief summary of your background and interests. If you are not enrolled at Northwestern, you should apply (undergraduate, graduate) to become one before touching base.
Hephaestus: Accelerating Scientific Discovery
In this project, we investigate reframing principles, concepts, tools and techniques from the scientific method to data science. In particular, we examine how to enable scientists codify experimental protocols so that we may convert them to scalable analytical queries for use in probing a space of hypotheses over existing large datasets.
BigDAWG: A Federated Database
BigDAWG explores a new view of data federations to address the growing need for cross-database querying. This need is fueled by the proliferation of storage engines and data models\textendash such as arrays, graphs, and text engines. We explore methods of integrating these disparate data models through a single interface for simple, efficient querying that is semantically precise.
PD3M: Personal Data-Driven Decision MakingPD3M enables users to formulate queries that create personalized results. The goal of this engine is to explore how to provide decision support to end users in a clear and accessible way.
SciDB: Data Management for ScientistsThis open-source data management system is designed for large-scale multidimensional objects. It is optimized for science workloads that contain complex analytics such as linear algebra.
J. Bater, X. He, W. Ehrich, A. Machanavajjhala, and J. Rogers. "Shrinkwrap: Efficient SQL Query Processing in Differentially Private Data Federations," Proceedings of the VLDB Endowment, 12(3), 2018. [PDF]
J. Duggan and M. Brodie, "Hephaestus: Data Reuse for Accelerating Scientific Discovery," in Proceedings of CIDR, 2015. [PDF]
J. Duggan, A. J. Elmore, M. Stonebraker, M. Balazinska, B. Howe, J. Kepner, S. Madden, D. Maier, T. Mattson, and S. Zdonik. "The BigDAWG Polystore System," in Sigmod Record, 44(3), 2015. [PDF]
A. J. Elmore, J. Duggan, M. Stonebraker, M. Balazinska, U. Cetintemel, V. Gadepally, J. Heer, B. Howe, et al., "A Demonstration of the BigDAWG Polystore System," in Proceedings of the VLDB Endowment, 8(12), 2015. [PDF]
J. Duggan and M. Stonebraker, "Incremental Elasticity for Array Databases," in Proceedings of ACM SIGMOD 2014. [PDF]
J. Duggan, "The Case for Personal Data-Driven Decision Making," in Proceedings of the VLDB Endowment, 7(11), pages 943-946, 2014. (vision paper) [PDF]
J. Duggan, O. Papaemmanouil, U. Cetintemel, and E. Upfal, "Contender: A Resource Modeling Approach for Concurrent Query Performance Prediction," in EDBT, 2014. [PDF]
J. Duggan, U. Cetintemel, O. Papaemmanouil, E. Upfal, "Performance Prediction for Concurrent Database Workloads," in Proceedings of ACM SIGMOD, 2011. [PDF]
J. Rogers, R. Simakov, E. Soroush, P. Velikhov, M. Balazinska, D. DeWitt, B. Heath, D. Maier, S. Madden, J. Patel, M. Stonebraker, S. Zdonik, A. Smirnov, K. Knizhnik, P. Brown, "Overview of SciDB: Large Scale Array Storage, Processing and Analysis," in Proceedings of ACM SIGMOD, 2010. [PDF]
J. Rogers, O. Papaemmanouil, and U. Cetintemel, "A Generic Auto-Provisioning Framework for Cloud Databases," in SMDB, 2010. [PDF]
P. Cudre-Mauroux, H. Kimura, K.-T. Lim, J. Rogers, R. Simakov, E. Soroush, P. Velikhov, D. Wang, M. Balazinska, J. Becla, D. DeWitt, B. Heath, D. Maier, S. Madden, J. Patel, M. Stonebraker, and S. Zdonik, "A Demonstration of SciDB: A Science-Oriented DBMS," in Proceedings of the VLDB Endowment, pages 1534-1537, 2009. [PDF]
M. Stonebraker, C. Bear, U. Cetintemel, M. Cherniack, T. Ge, N. Hachem, S. Harizopoulos, J. Lifter, J. Rogers, and S. Zdonik, "One Size Fits All? Part 2: Benchmarking Studies," in CIDR 2007. [PDF]
EECS 339: Introduction to Database Systems - Winter 2015, Winter 2016, Spring 2017
EECS 395/495-46: Data Science - Fall 2015