Satchit Sivakumar

PhD Student
Computer Science, Boston University

A pre-pandemic picture from when my knees didn't protest anything that they could construe as exercise.

About Me

I am a 2nd year CS PhD student at Boston University, where I am advised by Mark Bun. I'm broadly interested in Theory, with a special focus on Differential Privacy and Learning Theory.

Previously, I did a Master's in Computer Science at Georgia Institute of Technology and a Bachelor's in Electronics and Communication Engineering at SSN College of Engineering in Chennai.


Multiclass versus Binary Differentially Private PAC Learning

with Mark Bun and Marco Gaboardi.
NeurIPS 2021; Poster at TPDP 2021.

Differentially Private Sampling from Distributions

with Sofya Raskhodnikova, Adam Smith and Marika Swanberg.
NeurIPS 2021; Oral at TPDP 2021.

The Price of Differential Privacy under Continual Observation

with Palak Jain, Sofya Raskhodnikova and Adam Smith.
In Submission.


  • Teaching assistant, Grad Algorithms- CS6515, Spring 2019, Georgia Tech
  • Teaching assistant, Undergrad Algorithms- CS3510, Fall 2019, Georgia Tech
  • Teaching assistant, Applied Cryptography- CS6230 (for Online Master's students), Spring 2020, Georgia Tech


Date Location Title
November 2020 Boston University Theory Seminar Survey of results on Perfect Sampling of k-Colorings