Scholar
Vikrant Singhal
Google Scholar ID: sqCGBtYAAAAJ
Research Associate, Harvard University
Citations & Impact
Citations
700
H-index
11
i10-index
11
Publications
16
Co-authors
15
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Has collaborated closely and published with multiple (21) smart researchers, including but not limited to Shai Ben-David, Alex Bie, Mark Bun, etc.
Research Experience
- Since 2023, Research Associate at Harvard University working for OpenDP, supervised by Salil Vadhan; also affiliated with Harvard Business School's Digital Data Design Institute, part of Seth Neel's Trustworthy AI Lab; Postdoc at the University of Waterloo from 2021 to 2023, where he worked under Gautam Kamath; Research Intern at IBM Research for Summer 2020, hosted by Thomas Steinke; Visited the University of Waterloo in Fall 2019, supervised by Gautam Kamath; Visiting graduate student at the Simons Institute for the Theory of Computing (University of California, Berkeley) for their Spring 2019 program on Data Privacy: Foundations and Applications.
Education
- PhD (2021): Northeastern University, advised by Jonathan Ullman; Master's (2021): Northeastern University; Bachelor's (2016): University of Southern California, major in Computer Science, minor in Mathematics, worked with David Kempe on problems related to graphs during his time there.
Background
- Research interests: CS Theory and Algorithms, primarily focused on the domain of Differential Privacy. Also interested in questions related to Statistics and Machine Learning, with a recent focus on the intersection of Privacy, Statistics, and Learning.
Miscellany
- Interests include staying close to cars and motorsport, such as working on a particular car, watching Formula 1, and simracing. Also enjoys watching football (a.k.a., 'soccer') and tennis on TV. Loves anime and is always looking for cool recommendations.
