Jean-Christophe Nave, McGill University

Research

euler's incompressible equations arbitrary-small-scale numerical methods characteristic-mapping method (cmm)transport/advection equations conservative numerical integrators discrete-multiplier method (dmm)geophysical flows transport of k-forms

Latest papers

Emergence of collective behaviours from local Voronoi topological perception.
Royal Society open science · 2024 · senior author
Aerodynamic Ground Effect in Fruitfly Sized Insect Takeoff.
PloS one · 2016 · senior author

All 2 publications

Latest funding

Developing numerical methods for problems with arbitrary small scales, conservation and geometric properties
NSERC · 2024 · Principal investigator
$83,000
Empowering Emerging Research in Mathematics and Statistics: Local GPU Infrastructure Expansion
NSERC · 2024 · Co-investigator
$133,551
Toward High-Order Numerical Methods for Problems Involving Moving Interfaces, Jumps and Conserved Quantities
NSERC · 2016 · Principal investigator
$322,000

All 6 grants and awards

2 publications.

01

Emergence of collective behaviours from local Voronoi topological perception.

Gonzalez I, Tisdell J, Choksi R, Nave JC

Royal Society open science2024Senior author

DOI: 10.1098/rsos.231537 PMID: 39100185

02

Aerodynamic Ground Effect in Fruitfly Sized Insect Takeoff.

Kolomenskiy D, Maeda M, Engels T, Liu H, Schneider K, Nave JC

PloS one2016Senior author

DOI: 10.1371/journal.pone.0152072 PMID: 27019208

Developing numerical methods for problems with arbitrary small scales, conservation and geometric properties

Principal investigatorNSERC2024Discovery Grants Program - Individual

Principal investigators: Nave, Jean-Christophe

Keywords: euler's incompressible equations; arbitrary-small-scale numerical methods; characteristic-mapping method (cmm); transport/advection equations; conservative numerical integrators; discrete-multiplier method (dmm); geophysical flows; transport of k-forms; pdes on manifolds; fluid-structure and multiphase flows

$83,000

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

Toward High-Order Numerical Methods for Problems Involving Moving Interfaces, Jumps and Conserved Quantities

Principal investigatorNSERC2016Discovery Grants Program - Individual

Principal investigators: Nave, Jean-Christophe

$322,000

Interface tracking methods and gradient-augmented algorithms: theory and applications

Principal investigatorNSERC2011Discovery Grants Program - Accelerator Supplements

Principal investigators: Nave, JeanChristophe

$120,000

Computational resources for research in mathematics and statistics

Co-investigatorNSERC2011Research Tools and Instruments - Category 1 (<$150,000)

Principal investigators: Genest, Christian

$35,520

Interface tracking methods and gradient-augmented algorithms: theory and applications

Principal investigatorNSERC2011Discovery Grants Program - Individual

Principal investigators: Nave, JeanChristophe

$160,000

From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.

Frequent collaborators

Rustum Choksi

Mathematics and Statistics

1 shared papers, latest 2024

Write to this professor

A short, specific email works best. This draft uses one of their recent papers; replace the parts in brackets with your own details before sending.

Applying for

Paper to mentionMention their NSERC grant from 2024

Subject: Prospective PhD student: euler's incompressible equations Dear Professor Nave, 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]. I read your paper "Emergence of collective behaviours from local Voronoi topological perception." (2024), and it 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 "Developing numerical methods for problems with arbitrary small scales, conservation and geometric properties" (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]