David Stenning, Simon Fraser University

Research

Astrostatistics Bayesian Methodology Computer Model Emulation Gaussian Processes Statistical Computing Uncertainty Quantification

Latest funding

Non-destructive, probabilistic reconstruction of the fiber orientation distribution in compression molded fiber reinforced polymer composite based on thermal imaging and Bayesian inference
SSHRC · 2022 · Co-investigator
$125,000
Development of Innovative Statistical Tools to Address Data-Analytic Challenges in Physics and Astronomy
NSERC · 2021 · Principal investigator
$72,000
Development of Innovative Statistical Tools to Address Data-Analytic Challenges in Physics and Astronomy
NSERC · 2021 · Principal investigator
$12,500

All 3 grants and awards

Non-destructive, probabilistic reconstruction of the fiber orientation distribution in compression molded fiber reinforced polymer composite based on thermal imaging and Bayesian inference

Co-investigatorSSHRC2022New Frontiers in Research Fund - Exploration

Principal investigators: Kravchenko, Sergey

Keywords: Fiber reinforced polymer composite; Fiber orientation state; Compression molding; Bayesian inference; Discontinuous long fiber reinforced polymer composites; Computer model emulation; Statistical computing; Gaussian processes; Statistical machine learning

$125,000

Development of Innovative Statistical Tools to Address Data-Analytic Challenges in Physics and Astronomy

Principal investigatorNSERC2021Discovery Grants Program - Individual

Principal investigators: Stenning, David

Keywords: astrostatistics; bayesian methodology; uncertainty quantification; gaussian processes; computer model emulation; statistical computing

$72,000

Development of Innovative Statistical Tools to Address Data-Analytic Challenges in Physics and Astronomy

Principal investigatorNSERC2021Discovery Launch Supplement

Principal investigators: Stenning, David

$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.

Write to this professor

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Applying for

Mention their NSERC grant from 2021

Subject: Prospective PhD student: Astrostatistics Dear Professor Stenning, 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 astrostatistics 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 "Development of Innovative Statistical Tools to Address Data-Analytic Challenges in Physics and Astronomy" (2021), 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]