660 Interdisciplinary Science & Engineering Complex
805 Columbus Ave
Boston, MA, 02118
Email: singhal [dot] vi [at] husky [dot] neu [dot] edu
I'm a fourth-year PhD student at the
Khoury College of Computer Sciences
of Northeastern University,
advised by Jonathan Ullman.
My interests generally lie in CS Theory and Algorithms,
though I'm currently working in Differential
Privacy. I'm also interested in Learning Theory, and
my recent focus has been on the intersection
of Privacy and Learning.
I visited University of Waterloo
in Fall 2019, where I was hosted by
I was also a visiting graduate student at the Simons Institute
for the Theory of Computing for their Spring 2019 program on
Foundations and Applications.
Prior to joining Northeastern University, I was an undergrad at
the University of Southern California,
graduating in May 2016 with a bachelor's in
Computer Science, and a minor
At USC, I had a wonderful opportunity to work with
David Kempe on
problems related to graphs.
Gautam Kamath, Vikrant Singhal, and
Differentially Private Mean Estimation of Heavy-Tailed Distributions.
In Submission to COLT 2020.
Or Sheffet, Vikrant Singhal, and
Differentially Private Algorithms for Learning Mixtures of Separated Gaussians.
Jerry Li, Vikrant Singhal, and
Privately Learning High-Dimensional Distributions.
COLT 2019; TPDP 2018.
David Kempe, and
Deterministic and Probabilistic Binary Search in Graphs.
At Northeastern University:
- In Spring 2018, I was a teaching assistant for
Algorithms and Data (CS 4800).
- In Fall 2017, I was a teaching assistant for Theory of Computation (CS 3800),
and Discrete and Data Structures (CS 5002).
At the University of Arizona:
- In Spring 2013, I was an undergraduate teaching assistant for
Functions for Calculus (MATH 122A) and First Semester Calculus (MATH 122B).
Apart from Maths and Theory, I also like staying close to cars and motorsport,
for example, by working on a particular car, and by simracing. Other than that,
I like watching soccer and tennis on the telly. Finally, I love anime, so always
looking for cool recommendations. If you want to see a picture of the awesome
stuff I have on my desk at work, click here