Vikrant Singhal

I am a (fixed-term) Assistant Professor at the University of Copenhagen in Amartya Sanyal's Foundations of Responsible Machine Learning group. 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.

From 2023-2025, I was a Research Associate at Harvard University working for OpenDP, supervised by Salil Vadhan, and was also affiliated with Harvard Business School's Digital Data Design Institute, where I was a part of Seth Neel's Trustworthy AI Lab.

Starting 2021, I was a postdoc at the University of Waterloo until 2023, where I had an amazing time working under Gautam Kamath.

Before that, 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 was hosted by Thomas Steinke. I visited the 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 (University of California, Berkeley) 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 (21), really smart and cool researchers! Here is a list of them in the alphabetical order of their surnames: Shai Ben-David, Alex Bie, Mark Bun, Clément Canonne, Rachel Cummings, Ehsan Emamjomeh-Zadeh, Jack Fitzsimons, Abigail Gentle, James Honaker, Gautam Kamath, David Kempe, Jerry Li, Argyris Mouzakis, Nicolas Papernot, Matthew Regehr, Roy Rinberg, Or Sheffet, Michael Shoemate, Ilia Shumailov, Thomas Steinke, and Jonathan Ullman.