I'm an Assistant Professor of Computer Science at Northeastern University.
Updates
- 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!
- 09-25-2020 Three papers accepted to NeurIPS 2020! one, two, three!
- 09-25-2020 Congrats to Audra and Lydia on their spotlight paper in NeurIPS 2020!
- 09-18-2020 Congrats to Albert on his successful thesis proposal!
- 09-18-2020 New paper with Albert proving strong lower bounds for shuffle-privacy and pan-privacy!
- 07-13-2020 Why did I just join Twitter?
- 07-12-2020 Come learn about privacy at differentialprivacy.org!
- 06-11-2020 Just how private is private SGD? Our new paper tries to find out.
- 06-11-2020 Introducing CoinPress: a practical algorithm for private mean and covariance estimation: code, paper!
Contact
623 ISEC805 Columbus Avenue
Khoury College of Computer Sciences
Northeastern University
Boston, MA 02118
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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 and Google.
Advising
I am fortunate to work with a number of talented students and postdocs. My current group consists of:
- Albert Cheu (G5)
- Vikrant Singhal (G5)
- Lydia Zakynthinou (G4)
- Konstantina Bairaktari (G1)
- Tatiana Ediger (UG)
- Stanley Wu (UG)
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 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.
I also co-organize the Workshop on Theory and Practice of Differential Privacy, and differentialprivacy.org.