I am recruiting Ph.D. students! Please contact me if you are interested in working together.
I am an assistant professor of Computer Science at Tufts University. Before that, I was a postdoctoral researcher in the Database Group at Duke University, received my Ph.D. in computer science from Northwestern University, and completed my B.S. and M.S. in electrical engineering at Stanford University. My research centers on how to balance privacy, security, and utility to build fast, accurate database systems that support privacy-preserving analytics with provable security guarantees.
C. Wang, J. Bater, K. Nayak, A. Machanavajjhala. "IncShrink: Architecting Efficient Outsourced Databases using Incremental MPC and Differential Privacy," SIGMOD 2022.
P. Nanayakkara, J. Bater, X. He, J. Hullman, J. Rogers. "Visualizing Privacy-Utility Trade-Offs in Differentially Private Data Releases," PETS 2022.
C. Wang, J. Bater, K. Nayak, A. Machanavajjhala. "DP-Sync: Hiding Update Patterns in Secure Outsourced Databases with Differential Privacy," SIGMOD, pages 1892-1905, 2021.
J. Bater, Y. Park, X. He, X. Wang, and J. Rogers. "SAQE: Practical Privacy-Preserving Approximate Query Processing for Data Federations," PVLDB, 13(12), 2020.
J. Bater, X. He, W. Ehrich, A. Machanavajjhala, and J. Rogers. "Shrinkwrap: Efficient SQL Query Processing in Differentially Private Data Federations," PVLDB, 12(3), 2018.
J. Bater, G. Elliott, C. Eggen, S. Goel, A. Kho, and J. Rogers, "SMCQL: Secure Querying for Federated Databases," PVLDB, 10(6), pages 673-684, 2017.
"DP-Sync: Hiding Update Patterns in Secure Outsourced Databases with Differential Privacy," Yale University YACL Seminar, December 2021.
"DP-Sync: Hiding Update Patterns in Secure Outsourced Databases with Differential Privacy," Brown University Privacy and Security Group, November 2021.
"DP-Sync: Hiding Update Patterns in Secure Outsourced Databases with Differential Privacy," University of Maryland Cybersecurity Center, November 2021.
"DP-Sync: Hiding Update Patterns in Secure Outsourced Databases with Differential Privacy," University of Wisconsin-Madison Privacy and Security Group, August 2021.
"Prior-Aware Distribution Estimation for Differential Privacy: 2nd Place Winner of Differential Privacy Temporal Map Challenge," NIST Public Safety Communications Research Division Annual Stakeholders Meeting, March 2021.
"SAQE: Privacy-Preserving Approximate Query Processing for Data Federations," VLDB, August 2020.
"Shrinkwrap: Efficient SQL Query Processing in Differentially Private Data Federations," VLDB, August 2019.
"Differentially Private Query Processing Private Data Federations," Simons Institue for the Theory of Computing, October 2018.
"Shrinkwrap: Efficient SQL Query Processing in Differentially Private Data Federations," University of Wisconsin-Madison Database Group, December 2018.
"Differentially Private Query Processing Private Data Federations," Duke University Database Group, October 2018.
"SMCQL: Secure Query Processing for Private Data Networks," University of Maryland Cybersecurity Center, August 2018.
CS 151-02: Privacy, Security, and Data, Fall 2022
CS 396: Introduction to Cryptography, TA, Winter 2020
MSiA 413: Introduction to Databases and Information Retrieval, TA, Fall 2017, TA
EECS 339: Introduction to Database Systems, TA, Fall 2016, Spring 2017
EECS 395/495-46: Data Science Seminar, TA, Fall 2015
Founder: Northwestern CS Database and Security Reading Group, 2017
Co-Founder: Northwestern CS Ph.D. Advisory Council, 2017
Board Member: Northwestern CS Ph.D. Advisory Council, 2017-2019
PC Member: ACM CCS 2022 Technical Program Committee