Chunfang Lin, Queen's University

Research

Big Data Computer Model Emulators Experimental Design Uncertainty Quantification

Latest funding

Uncertainty Quantification for Complex Computer Models
NSERC · 2019 · Principal investigator
$120,000
Topics on Design of Experiments and Computer Experiments
NSERC · 2014 · Principal investigator
$55,000
The design and analysis of large-scale computer experiments/variance estimations in complex surveys
NSERC · 2009 · Principal investigator
$80,000

All 3 grants and awards

Uncertainty Quantification for Complex Computer Models

Principal investigatorNSERC2019Discovery Grants Program - Individual

Principal investigators: Lin, Chunfang

Keywords: computer model; uncertainty quantification; experimental design; emulators; big data

$120,000

Topics on Design of Experiments and Computer Experiments

Principal investigatorNSERC2014Discovery Grants Program - Individual

Principal investigators: Lin, Chunfang

$55,000

The design and analysis of large-scale computer experiments/variance estimations in complex surveys

Principal investigatorNSERC2009Discovery Grants Program - Individual

Principal investigators: Lin, ChunfangDevon

$80,000

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: Big Data Dear Professor Lin, 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 big data 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 "Uncertainty Quantification for Complex Computer Models" (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]