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Associate Professor of Computer Science

Faculty Area:
Databases, Privacy
ashwin at cs.duke.edu
(919) 660-6590
Web page:

Ph.D., Cornell University, 2008
B. Tech., IIT Madras, 2002

Honors & Awards

David and Janet Vaughan Brooks Teaching Award, 2018
IEEE ICDE Influential Paper Award, 2017
NSF Career Award, 2013
ACM-SIGMOD Jim Gray Dissertation Award Honorable Mention, 2008


Privacy preserving data analysis, fairness in data science and machine learning (ML) workflows, cryptography and secure computation, combatting misinformation.

Selected Publications
  • PrivateSQL: A Differentially Private SQL Query Engine, with I. Kotsogiannis, Y. Tao, X. He, M. Fanaeepour, M. Hay, G. Miklau, Proceedings of the VLDB 12(11) (2019)
  • ShrinkWrap: DifferentiallyPrivate Query Processing in Private Data Federations, with J. Bater, X. He, W. Ehirch and J. Rogers, Proceedings of the VLDB 12(3) (2019)
  • Ektelo: A Framework for Defining Differentially Private Computation, with D. Zhang, R. McKenna, I. Kotsogiannis, M. Hay, G. Miklau, To appear, ACM Transactions on Database Systems (TODS) 2019
  • Capacity Bounded Differential Privacy, with K. Chaudhuri, J. Imola, Neural Information Processing Systems (NeurIPS) 2019
  • Permissions Plugins as Android Apps, with N. Raval, A. Razeen, L. Cox, ACM Conference on Mobile Systems, Applications, and Services (MobiSys) 2019
Extended List of Publications

Publications by Ashwin Machanavajjhala