vikrant [dot] singhal [at] uwaterloo [dot] ca
DC 3624, 200 University Avenue W,
Waterloo, ON N2L 3G1, Canada
I am a postdoc at the University of Waterloo (since 2021), hosted by Gautam Kamath. My interests generally lie in CS Theory and Algorithms, though I mainly work on problems in the domain of Differential Privacy. I'm also interested in questions related to Statistics and Machine Learning, and my recent focus has been on the intersection of Privacy, Statistics, and Learning.
I got my PhD and master's in 2021 from Northeastern University, where I was fortunate to be advised by Jonathan Ullman. I was a Research Intern at IBM Research for Summer 2020, where I worked with Thomas Steinke. I visited University of Waterloo in Fall 2019, where I was supervised by Gautam Kamath. I was also a visiting graduate student at the Simons Institute for the Theory of Computing for their Spring 2019 program: Data Privacy: Foundations and Applications.
Prior to joining Northeastern University, I was an undergrad at the University of Southern California, graduating in 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.
I have been extremely lucky to have had so many opportunities to collaborate closely and publish with multiple (10), really smart and cool researchers! Here is a list of them in the alphabetical order of their surnames: Alex Bie, Ehsan Emamjomeh-Zadeh, Gautam Kamath, David Kempe, Jerry Li, Argyris Mouzakis, Matthew Regehr, Or Sheffet, Thomas Steinke, and Jonathan Ullman.
Apart from Mathematics and Theory, I also like staying close to cars and motorsport, for example, by working on a particular car, watching Formula 1, and via simracing. Other than that, I like watching football (a.k.a., "soccer") and tennis on the telly. Finally, I love anime, so always looking for cool recommendations. Here is a picture of my awesome desk at work!