Eric Kolaczyk, McGill University

Research

Bayesian inference bootstrap complex networks dynamic network hidden Markov model random graph model signal plus noise subgraph count

Latest funding

Empowering Emerging Research in Mathematics and Statistics: Local GPU Infrastructure Expansion
NSERC · 2024 · Co-investigator
$133,551
Noise and Uncertainty Quantification in Statistical Network Analysis
NSERC · 2023 · Principal investigator
$80,000
Noise and Uncertainty Quantification in Statistical Network Analysis
NSERC · 2023 · Principal investigator
$92,000

All 3 grants and awards

Empowering Emerging Research in Mathematics and Statistics: Local GPU Infrastructure Expansion

Co-investigatorNSERC2024Research Tools and Instruments

Principal investigators: Yang, Archer Yi

Keywords: Bayesian computation; big data analytics; complex networks; computational geometry; high-dimensional statistics; large--scale optimization; machine learning; mathematical image processing; optimal transportation; partial differential equations

$133,551

Noise and Uncertainty Quantification in Statistical Network Analysis

Principal investigatorNSERC2023DND/NSERC Discovery Grant Supplement

Principal investigators: Kolaczyk, Eric

$80,000

Noise and Uncertainty Quantification in Statistical Network Analysis

Principal investigatorNSERC2023Discovery Grants Program - Individual

Principal investigators: Kolaczyk, Eric

Keywords: bootstrap; bayesian inference; complex networks; dynamic network; hidden markov model; random graph model; signal plus noise; subgraph count; uncertainty quantification

$92,000

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 2023

Subject: Prospective PhD student: Bayesian inference Dear Professor Kolaczyk, 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 inference 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 "Noise and Uncertainty Quantification in Statistical Network Analysis" (2023), 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]