Gautam Kamath, University of Waterloo

Research

Differential Privacy Distribution Learning Hypothesis Testing Machine Learning Statistics

Latest funding

Theoretical Foundations of Differentially Private Statistics
NSERC · 2020 · Principal investigator
$200,000
Theoretical Foundations of Differentially Private Statistics
NSERC · 2020 · Principal investigator
$120,000
Theoretical Foundations of Differentially Private Statistics
NSERC · 2020 · Principal investigator
$12,500

All 3 grants and awards

Theoretical Foundations of Differentially Private Statistics

Principal investigatorNSERC2020Discovery Grants Program - Individual

Principal investigators: Kamath, Gautam

Keywords: distribution learning; hypothesis testing; differential privacy; statistics; machine learning

$200,000

Theoretical Foundations of Differentially Private Statistics

Principal investigatorNSERC2020Discovery Grants Program - Accelerator Supplements

Principal investigators: Kamath, Gautam

$120,000

Theoretical Foundations of Differentially Private Statistics

Principal investigatorNSERC2020Discovery Launch Supplement

Principal investigators: Kamath, Gautam

$12,500

From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.

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Applying for

Mention their NSERC grant from 2020

Subject: Prospective PhD student: Differential Privacy Dear Professor Kamath, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. Your research on differential privacy connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] I also saw your NSERC-funded project "Theoretical Foundations of Differentially Private Statistics" (2020), and I would be glad to contribute to work in that direction. Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]