Yaniv Plan, University of British Columbia

Research

Matrix completion Compressive sensing Neural nets Tensor completion high-dimensional inference compressed sensing learning theory high-dimensional inference compressed sensing matrix completion learning theory

Latest funding

Low-dimensional structures in high-dimensional data
NSERC · 2020 · Principal investigator
$120,000
Low-dimensional structures in high-dimensional data
NSERC · 2020 · Principal investigator
$162,000
Data Science
NSERC · 2019 · Principal investigator
$50,000

All 8 grants and awards

Low-dimensional structures in high-dimensional data

Principal investigatorNSERC2020Discovery Grants Program - Accelerator Supplements

Principal investigators: Plan, Yaniv

$120,000

Low-dimensional structures in high-dimensional data

Principal investigatorNSERC2020Discovery Grants Program - Individual

Principal investigators: Plan, Yaniv

Keywords: compressive sensing; matrix completion; tensor completion; neural nets

$162,000

Data Science

Principal investigatorNSERC2019Canada Research Chairs

Principal investigators: Plan, Yaniv

$50,000

Data Science

Principal investigatorNSERC2019Canada Research Chairs

Principal investigators: Plan, Yaniv

Keywords: high-dimensional inference; compressed sensing; matrix completion; learning theory

$350,000

Data Science

Principal investigatorNSERC2019Canada Research Chairs

Principal investigators: Plan, Yaniv

$100,000

Extracting low-dimensional signals from high-dimensional data

Principal investigatorNSERC2015Discovery Grants Program - Individual

Principal investigators: Plan, Yaniv

$95,000

Data Science

Principal investigatorNSERC2014Canada Research Chairs

Principal investigators: Plan, Yaniv

$430,000

Data Science

Principal investigatorNSERC2014Canada Research Chairs

Principal investigators: Plan, Yaniv

Keywords: CRC

$100,000

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

Write to this professor

A short, specific email works best. This draft uses one of their recent papers; replace the parts in brackets with your own details before sending.

Applying for

Mention their NSERC grant from 2020

Subject: Prospective PhD student: Matrix completion Dear Professor Plan, 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 matrix completion 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 "Low-dimensional structures in high-dimensional data" (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]