Jin Gao, Memorial University of Newfoundland

Research

climate change distribution shifts nonlinear dynamics predictive fishing spatiotemporal model stock assessment sustainable fishery

Latest papers

Identifying and assessing nonlinear drivers of capelin and Atlantic cod population dynamics using empirical dynamic modelling (EDM) scenario exploration.
PloS one · 2025
A function-valued trait approach to estimating the genetic basis of size at age and its potential role in fisheries-induced evolution.
Evolutionary applications · 2019 · first author

All 2 publications

Latest funding

Improving the sustainability of Northwest Atlantic fisheries via predictive modelling
NSERC · 2021 · Principal investigator
$12,500
Improving the sustainability of Northwest Atlantic fisheries via predictive modelling
NSERC · 2021 · Principal investigator
$112,000

All 2 grants and awards

2 publications.

01

Identifying and assessing nonlinear drivers of capelin and Atlantic cod population dynamics using empirical dynamic modelling (EDM) scenario exploration.

Steele RW, Gao J, Koen-Alonso M, Regular PM

PloS one2025

DOI: 10.1371/journal.pone.0339407 PMID: 41417790

02

A function-valued trait approach to estimating the genetic basis of size at age and its potential role in fisheries-induced evolution.

Gao J, Munch SB

Evolutionary applications2019First author

DOI: 10.1111/eva.12771 PMID: 31080508

Improving the sustainability of Northwest Atlantic fisheries via predictive modelling

Principal investigatorNSERC2021Discovery Launch Supplement

Principal investigators: Gao, Jin

$12,500

Improving the sustainability of Northwest Atlantic fisheries via predictive modelling

Principal investigatorNSERC2021Discovery Grants Program - Individual

Principal investigators: Gao, Jin

Keywords: predictive fishing; nonlinear dynamics; sustainable fishery; spatiotemporal model; stock assessment; distribution shifts; climate change

$112,000

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

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 2021

Subject: Prospective PhD student: climate change Dear Professor Gao, 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 "Identifying and assessing nonlinear drivers of capelin and Atlantic cod population dynamics using empirical dynamic modelling (EDM) scenario exploration." (2025), 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 "Improving the sustainability of Northwest Atlantic fisheries via predictive modelling" (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]