Jennie Duggan
Jennie Duggan

Lisa Wissner-Slivka
and Benjamin Slivka
Junior Professor
in Computer Science

Northwestern University
Electrical Engineering and
Computer Science

Ford Design Center, Room 3.221
2133 Sheridan Rd
Evanston, IL 60208

Curriculum Vitae

Google Scholar

Jennie Duggan is the Lisa Wissner-Slivka and Benjamin Slivka Junior Professor in Computer Science and an assistant professor 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.

Prospective Students

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.

Research Projects

Hephaestus: Accelerating Scientific Discovery
with Data Reuse

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 into scalable analytical queries for use in probing a space of hypotheses over existing big datasets.


BigDAWG: A Federated Database
for Multiple Data Models

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 that have resulted from the observation that “one size does not fit all”.


PD3M: Personal Data-Driven Decision Making

PD3M 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 Science Applications

This open-source data management system is designed for large-scale multidimensional objects. It is optimized for science workloads that frequently contain complex analytics such as linear algebra.


J. Bater, G. Elliott, C. Eggen, S. Goel, A. Kho, and J. Duggan, "SMCQL: Secure Query Processing for Private Data Networks," to appear in VLDB 2017. [arXiv]

R. Taft, W. Lang, J. Duggan, A. Elmore, M. Stonebraker, D. DeWitt, "STeP: Scalable Tenant Placement for Managing Database-as-a-Service Deployments," in SoCC, 2016.

J. Duggan and M. Brodie, "Hephaestus: Data Reuse for Accelerating Scientific Discovery," in CIDR, 2015. [PDF] [BIBTEX]

  • An extended version is available here.

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] [BIBTEX]

A. J. Elmore, J. Duggan, M. Stonebraker, M. Balazinska, U. Cetintemel, V. Gadepally, J. Heer, B. Howe, J. Kepner, et al., "A Demonstration of the BigDAWG Polystore System," in Proceedings of the VLDB Endowment, 8(12), 2015. [PDF] [BIBTEX]

J. Duggan, O. Papaemmanouil, L. Battle, and M. Stonebraker, "Skew-Aware Join Optimization for Array Databases," in Proceedings of SIGMOD, 2015. [PDF] [BIBTEX]

J. Duggan, "The Case for Personal Data-Driven Decision Making," in Proceedings of the VLDB Endowment, vol. 7, iss. 11, 2014. (vision track) [PDF] [BIBTEX]

J. Duggan and M. Stonebraker, "Incremental Elasticity for Array Databases," in Proceedings of SIGMOD 2014. [PDF] [BIBTEX]

R. Taft, E. Mansour, M. Serafini, J. Duggan, A. Elmore, A. Aboulnaga, A. Pavlo, and M. Stonebraker, "E-Store: Fine-Grained Elastic Partitioning for Distributed Transaction Processing Systems," in Proceedings of the VLDB Endowment, 8(3), 2014. [PDF] [BIBTEX]

J. Duggan, O. Papaemmanouil, U. Cetintemel, and E. Upfal, "Contender: A Resource Modeling Approach for Concurrent Query Performance Prediction," in EDBT, 2014. [PDF] [BIBTEX]

M. Stonebraker, J. Duggan, L. Battle, O. Papaemmanouil, "SciDB DMBS Research at MIT," in IEEE Data Eng. Bull., vol. 36, iss. 4, 2013. [PDF] [BIBTEX]

J. Duggan, Y. Chi, H. Hacigumus, S. Zhu, U. Cetintemel, "Packing Light: Portable Workload Performance Prediction for the Cloud," in DMC, 2012. [PDF] [BIBTEX]

J. Duggan, U. Cetintemel, O. Papaemmanouil, E. Upfal, "Performance Prediction for Concurrent Database Workloads," in Proceedings of SIGMOD, 2011. [PDF] [BIBTEX]

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 SIGMOD, 2010. [PDF] [BIBTEX]

J. Rogers, O. Papaemmanouil, and U. Cetintemel, "A Generic Auto-Provisioning Framework for Cloud Databases," in SMDB, 2010. [PDF] [BIBTEX]

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, 2009. [PDF] [BIBTEX]

Y. Ahmad, O. Papaemmanouil, U. Cetintemel, and J. Rogers, "Simultaneous Equation Systems for Query Processing on Continuous-Time Data Streams," in ICDE, 2008. [PDF] [BIBTEX]

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] [BIBTEX]


EECS 339: Introduction to Database Systems - Winter 2015, Winter 2016

EECS 395/495-46: Data Science - Fall 2015

Academic Service