Jennifer Neville


Associate Professor and Miller Family Chair of Computer Science and Statistics at Purdue University.

My research interests lie in the fields of machine learning and data mining. In particular, I focus on the development and analysis of algorithms for relational domains, including social, information, and communication networks, as well as physical networks and distributed systems. My work can be broadly categorized into: (1) design and implementation of machine learning and data mining techniques, (2) discovery of, and adjustment for, statistical biases due to networks data characteristics, and (3) application to real-world tasks.

Office: Computer Science Department, Lawson 2142D
Address: 305 N. University St., Purdue University, West Lafayette, IN 47907-2107
Email: neville [at]
Phone: (765) 496-9387
Fax: (765) 494-0739
Twitter: @JenLNeville

Invited Talks

03/16: Distinguished lecture at the Max Planck Institute for Informatics, Saarbrucken, Germany.

12/15: Invited talk at the Inference on Networks: Algorithms, Phase Transitions, New Models and New Data, Santa Fe Institute, Santa Fe, New Mexico.

05/15: Tutorial on Collective Classification in Large-Scale Networks, IEEE International Conference on Data Science and Advanced Analytics, Paris, France.
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10/15: Invited talk at the Workshop on Information in Networks (WIN), New York University, Stern School of Business.
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09/15: Keynote at 2nd European Network Intelligence Conference, Karlskrona, Sweden.
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05/15: Tutorial on Network Sampling: Methods and Applications, with Mohammad Al Hasan and Nesreen Ahmed, SIAM International Conference on Data Mining, Vancouver, Canada.
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10/14: Invited talk for the Data, Society, and Inference Seminar, Stanford University, Palo Alto, CA.

09/14: Invited talk at Dawn or Doom: The New Technology Explosion, Purdue University.
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05/14: Keynote at the International Conference of the Florida Artificial Intelligence Research Society, Pensacola Beach, FL.
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06/13: Invited talk at the International Conference on Network Science, Copenhagen, Denmark.
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Recent Grants

09/15: IIS Grant "Models, Algorithms, and Software for Spatial-Relational Networks" awarded by NSF, with David Gleich and Ananth Grama.

08/15: Science and Technology Center Grant "Frontiers of Science of Information" awarded by NSF, with PI Wojciech Szpankowski et al. (multi-investigator, multi-institution).

05/13: CVG Grant "A Heterogeneous Inference Framework for 3D Modeling and Rendering of Sites" awarded by NSF, with Daniel Aliaga and Yale University.

09/12: IIS Grant "Parametric Statistical Models to Support Statistical Hypothesis Testing over Graphs" awarded by NSF, with SVN Vishwanathan.

01/12: CAREER Grant "Machine Learning Methods and Statistical Analysis Tools for Single Network Domains" awarded by NSF.

11/11: DARPA grant Toward Intrusion Tolerant Clouds awarded by DARPA, with Cristina Nita-Rotaru and Johns Hopkins University.

Awards and Other News

02/16: Served as PC Chair of the 9th ACM International Conference on Web Search and Data Mining.
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08/15: Elected to AAAI Executive Council (term: 2015-2018).
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07/15: Nesreen Ahmed successfully completed her dissertation "Scaling up Network Analysis and Mining: Statistical Sampling, Estimation, and Pattern Discovery" and joined Intel Research.

05/15: Joseph Pfeiffer successfully completed his dissertation "Overcoming Uncertainty for Within-Network Relational Learning" and joined Microsoft.

06/14: Sebastian Moreno successfully completed his dissertation "Network Hypothesis Testing for Relational Data" and joined the Adolfo Ibanez University in Chile.

07/13: Visiting Scholar at the Simons Institute for the Theory of Computing, for the Fall 2013 Program on Theoretical Foundations of Big Data Analysis.
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05/13: Received the Outstanding Achievement by a Young Alum award from University of Massachusetts Amherst.
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01/13: Served as Associate PC Chair of the 27th AAAI Conference on Artificial Intelligence.
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11/12: Served as PC Co-Chair of the 4th ACM SIGSPATIAL International Workshop on Location-Based Social Networks.
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