Samuel Wong, University of Waterloo

Research

Bayesian statistics computational biology dynamic systems Monte Carlo methods protein structure prediction statistical computation

Latest funding

Statistical computation for deciphering biological outcomes in proteins and cells
NSERC · 2019 · Principal investigator
$126,000
Statistical computation for deciphering biological outcomes in proteins and cells
NSERC · 2019 · Principal investigator
$12,500

All 2 grants and awards

Statistical computation for deciphering biological outcomes in proteins and cells

Principal investigatorNSERC2019Discovery Grants Program - Individual

Principal investigators: Wong, Samuel

Keywords: bayesian statistics; monte carlo methods; protein structure prediction; computational biology; dynamic systems; statistical computation

$126,000

Statistical computation for deciphering biological outcomes in proteins and cells

Principal investigatorNSERC2019Discovery Launch Supplement

Principal investigators: Wong, Samuel

$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 2019

Subject: Prospective PhD student: Bayesian statistics Dear Professor Wong, 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 bayesian statistics 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 "Statistical computation for deciphering biological outcomes in proteins and cells" (2019), 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]