Courtney Paquette, McGill University

Research

Algorithms Data Science Machine Learning Optimization Stochastic Algorithms

Latest funding

Empowering Emerging Research in Mathematics and Statistics: Local GPU Infrastructure Expansion
NSERC · 2024 · Co-investigator
$133,551
Compute-Optimal Neural Scaling Laws for Learning Algorithms
NSERC · 2024 · Principal investigator
$135,000
Concentrated Optimization for Machine Learning: Complexity in High-Dimensions, Average-case Analysis, and Exact Dynamics
NSERC · 2022 · Principal investigator
$87,000

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

Compute-Optimal Neural Scaling Laws for Learning Algorithms

Principal investigatorNSERC2024FRQ - NOVA

Principal investigators: Paquette, Courtney

Keywords: Information, computer and communication technologies; Mathematical sciences

$135,000

Concentrated Optimization for Machine Learning: Complexity in High-Dimensions, Average-case Analysis, and Exact Dynamics

Principal investigatorNSERC2022Discovery Grants Program - Individual

Principal investigators: Paquette, Courtney

Keywords: optimization; data science; stochastic algorithms; machine learning; algorithms

$87,000

Interdisciplinary Math and Artificial Intelligence Program (INTER-MATH-AI)

Co-investigatorNSERC2022Collaborative Research and Training Experience

Principal investigators: Fraser, Maia MJ

Keywords: applications of ai; artificial intelligence; hybrid machine learning; machine learning; mathematical modelling; neural networks; numerical methods; optimization; reinforcement learning; topological data analysis

$725,500

Concentrated Optimization for Machine Learning: Complexity in High-Dimensions, Average-case Analysis, and Exact Dynamics

Principal investigatorNSERC2022Discovery Launch Supplement

Principal investigators: Paquette, Courtney

$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 2024

Subject: Prospective PhD student: Algorithms Dear Professor Paquette, 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 algorithms 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 "Compute-Optimal Neural Scaling Laws for Learning Algorithms" (2024), 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]