I'm an Associate Professor of Computer Science at Northeastern University.

Updates

I am on sabbatical in Palo Alto for the 2021-22 academic year!
  • 09-28-2021 Congratulations to Lydia on her NeurIPS 2021 Spotlight!
  • 07-22-2021 Congratulations to Dr. Vikrant Singhal, defender of the thesis!
  • 06-28-2021 New paper with Lydia on private estimation!
  • 06-09-2021 I've been promoted to Associate Professor with tenure! Thanks to everyone who helped me get here!
  • 05-08-2021 One paper acceped to ICML 2021!
  • 04-07-2021 Congratulations to Dr. Albert Cheu, defender of the thesis!
  • 02-17-2021 New paper on private synthetic data!
  • 02-16-2021 New paper with Konstantina on fair cohort selection!
  • 02-06-2021 Congrats to Albert on his STOC 2021 paper!
  • 11-30-2020 I am Privacy and Anonymity Track Chair for CCS 2021! Submit your awesome privacy research!
  • 10-28-2020 Congrats to Vikrant on his successful thesis proposal!

Contact

jullman@ccs.neu.edu

623 ISEC
805 Columbus Avenue
Khoury College of Computer Sciences
Northeastern University
Boston, MA 02118
Map Directions
Bio
CV
Google Scholar
Twitter

Research

My research is about how to use data robustly, reliably, and responsibly. I'm aiming to build firm foundations, but with a focus on the questions that will be critical for real-world systems, which I study using a mix of tools from algorithms, cryptography, security, machine learning, and statsitics. I am particularly interested in data privacy and preventing false discovery in the empirical sciences.

I am a member of the Theory Group and the Cybersecurity & Privacy Institute.

My research has been generously funded by the National Science Foundation, Apple, and Google.

Advising

I am fortunate to work with a number of talented students and postdocs. My current group consists of:


Teaching

I am currently teaching CS 7880: Privacy in Statistics and Machine Learning

Courses I've taught in the past include:

I am also the proud recipient of the Ruth and Joel Spira Outstanding Teacher Award.

Service

I also co-organize the Workshop on Theory and Practice of Differential Privacy, and differentialprivacy.org.

I am currently the Privacy and Anonymity Track chair for CCS 2021. I have served on the program committees of many conferences, including: IEEE S&P '21, CCS '20, ITC '20, FOCS '18, SODA '18, TCC '16, EC '16, TCC '15, STOC '15, and ITCS '15.

Students and Advising

I have been fortunate to work with a number of talented students and postdocs.


  • Current

    • Lydia Zakynthinou, PhD Student (G5), co-advised with Huy Nguyen  Facebook Fellow
    • Konstantina Bairaktari, PhD Student (G2), co-advised with Huy Nguyen
    • John Abascal, PhD Student (G1), co-advised with Alina Oprea
    • Rose Silver, PhD Student (G1), co-advised with Paul Hand
  • Former
    • Audra McMillan, Postdoc, 2018–2020 → Research Scientist at Apple

    • Albert Cheu, PhD Student → Postdoc at Georgetown University
    • Vikrant Singhal, PhD Student → Postdoc at University of Waterloo

    • Jeff Champion, Undergraduate, 2018–2019 → Ph.D. Student at UT Austin  CRA Outstanding Undergraduate Researcher Award Finalist
    • Mitali Bafna, Undergraduate, 2016 → Ph.D. Student at Harvard University
    • Tatiana Ediger, Undergraduate
    • Stanley Wu, Undergraduate

Service



  • Organizer
  • Program Committee / Track Chair
    • Privacy and Anonymity Track Chair, ACM Conference on Computer and Information Security (CCS) 2021
  • Program Committee Member
    • IEEE Symposium on Security & Privacy (S&P): 2020, 2021
    • ACM Conference on Computer and Information Security (CCS): 2020
    • Information Theoretic Cryptography Conference (ITC): 2020
    • IEEE Symposium on Foundations of Computer Science (FOCS): 2018
    • SIAM Symposium on Discrete Algorithms (SODA): 2018
    • ACM Conference on Economics and Computation (EC): 2016
    • Theory of Cryptography Conference (TCC): 2015, 2016
    • ACM Symposium on Theory of Computing (STOC): 2015
    • ACM Innovations in Theoretical Computer Science (ITCS): 2015
  • Reviewer
    • Conference on Learning Theory (COLT): 2020
    • International Conference on Machine Learning (ICML): 2018, 2020
    • International Conference on Artificial Intelligence and Statistics (AISTATS): 2017
    • Conference on Neural and Information Processing Systems (NeurIPS): 2016, 2017

Teaching

I am currently teaching CS 7880: Privacy in Statistics and Machine Learning


Research Papers

Each list is in reverse chronological order.
Authors are ordered alphabetically unless otherwise noted.
Papers are tagged with Paper Code Media Misc when available