Vikrant Singhal 

660 Interdisciplinary Science & Engineering Complex 805 Columbus Ave Boston, MA, 02118 Email: singhal [dot] vi [at] husky [dot] neu [dot] edu 
I'm a fourthyear 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 Gautam Kamath. I was also a visiting graduate student at the Simons Institute for the Theory of Computing for their Spring 2019 program on Data Privacy: 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 in Mathematics. At USC, I had a wonderful opportunity to work with David Kempe on problems related to graphs.
Gautam Kamath, Vikrant Singhal, and
Jonathan Ullman.
Differentially Private Mean Estimation of HeavyTailed Distributions.
In Submission to COLT 2020.
Gautam Kamath,
Or Sheffet, Vikrant Singhal, and
Jonathan Ullman.
Differentially Private Algorithms for Learning Mixtures of Separated Gaussians.
NeurIPS 2019.
[arXiv]
[poster]
Gautam Kamath,
Jerry Li, Vikrant Singhal, and
Jonathan Ullman.
Privately Learning HighDimensional Distributions.
COLT 2019; TPDP 2018.
[arXiv]
Ehsan EmamjomehZadeh,
David Kempe, and
Vikrant Singhal.
Deterministic and Probabilistic Binary Search in Graphs.
STOC 2016.
[arXiv]