Junling Ma, University of Victoria

Research

Read how they describe their research on their University of Victoria profile.

Artificial Intelligence Biostatistics Disease Dynamics Integrative Modelling One Health Simulation Study Social Media Web Search

Latest papers

Multi-event dynamic capture-recapture model for big data: Estimating undetected COVID-19 cases in British Columbia, Canada.
Infectious Disease Modelling · 2026
Mechanistic modelling of highly pathogenic avian influenza: A scoping review revealing critical gaps in cross-species transmission models.
PloS one · 2026
Estimation of the exponential growth rate of an epidemic.
Infectious Disease Modelling · 2026 · senior author

All 43 publications

Latest funding

Understand the dynamics of Highly Pathogenic Avian Influenza (HPAI) through integrative modelling approaches.
CIHR · 2024 · Principal investigator
$149,920
One Health Modelling Network for Emerging Infections (OMNI)
NSERC · 2020 · Co-investigator
$2,500,000
Mathematics for Public Health (MfPH)
NSERC · 2020 · Co-investigator
$3,000,000

All 7 grants and awards

43 publications.

01

Multi-event dynamic capture-recapture model for big data: Estimating undetected COVID-19 cases in British Columbia, Canada.

Olobatuyi K, Ma J, Brown P, Cowen LLE

Infectious Disease Modelling2026

DOI: 10.1016/j.idm.2025.12.016 PMID: 41573816

02

Mechanistic modelling of highly pathogenic avian influenza: A scoping review revealing critical gaps in cross-species transmission models.

Wang M, Laison EKE, Philippsen T, Ghaemi S, Liu J, Moyles I, Signore A, Ma J, Nasri B

PloS one2026

DOI: 10.1371/journal.pone.0347929 PMID: 42060628

03

Estimation of the exponential growth rate of an epidemic.

Wang M, van den Driessche P, Cowen LLE, Ma J

Infectious Disease Modelling2026Senior author

DOI: 10.1016/j.idm.2025.12.020 PMID: 41704655

04

Retrospective analysis of age-specific non-pharmaceutical interventions on wild-type SARS-CoV-2 in Canada.

Philippsen T, van den Driessche P, Cowen LLE, Ma J

BMC public health2026Senior author

DOI: 10.1186/s12889-026-26229-3 PMID: 41776444

05

Time evolution of infection state correlation of nodes in an SIR model on a random contact network.

Li M, Shi H, Ma J, Wang M

Mathematical biosciences2026

DOI: 10.1016/j.mbs.2026.109725 PMID: 42173237

06

The dynamics of CD4+ T cell proliferation and regulation.

Zhang M, Ma J, Edwards R, Li M

Journal of biological dynamics2025

DOI: 10.1080/17513758.2025.2458867 PMID: 39881560

07

Estimating the effect of contact tracing during the early stage of an epidemic.

Wang M, Ma J, van den Driessche P, Cowen LLE

Infectious Disease Modelling2025

DOI: 10.1016/j.idm.2025.02.005 PMID: 40503358

08

Original Antigenic Sin in CD4+ T Cells.

Zhang M, Ma J, Li M

Immunology2025

DOI: 10.1111/imm.13916 PMID: 40056013

09

Computational modeling to study the impact of changes in Nav1.8 sodium channel on neuropathic pain

Kan P, Zhu YF, Ma J, Singh G

Frontiers in Computational Neuroscience20245 citations

DOI: 10.3389/fncom.2024.1327986

10

The optimal spatially-dependent control measures to effectively and economically eliminate emerging infectious diseases.

Xia F, Xiao Y, Ma J

PLoS computational biology2024Senior author

DOI: 10.1371/journal.pcbi.1012498 PMID: 39374303

Understand the dynamics of Highly Pathogenic Avian Influenza (HPAI) through integrative modelling approaches.

Principal investigatorCIHR2024Catalyst Grant: Avian Influenza OneHealth Research

Principal investigators: Nasri, Bouchra; Ma, Junling

Keywords: Artificial Intelligence; Biostatistics; Disease Dynamics; Integrative Modelling; One Health; Simulation Study; Social Media; Web Search

$149,920

One Health Modelling Network for Emerging Infections (OMNI)

Co-investigatorNSERC2020Emerging Infectious Diseases Modelling Initiative (EIDM)

Principal investigators: Zhu, Huaiping

$2,500,000

Mathematics for Public Health (MfPH)

Co-investigatorNSERC2020Emerging Infectious Diseases Modelling Initiative (EIDM)

Principal investigators: Murty, Vijayakumar

$3,000,000

Modelling disease dynamics with realistic population mixing patterns

Principal investigatorNSERC2018Discovery Grants Program - Individual

Principal investigators: Ma, Junling

$140,000

Modeling the spread of infectious diseases on contact networks

Principal investigatorNSERC2013Discovery Grants Program - Individual

Principal investigators: Ma, Junling

$75,000

Computing facility

Co-investigatorNSERC2007Research Tools and Instruments - Category 1 (<$150,000)

Principal investigators: Zhou, Julie

$80,805

Modeling the evolutionary and epidemiological patterns of infectious diseases

Principal investigatorNSERC2007Discovery Grants Program - Individual

Principal investigators: Ma, Junling

$75,000

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

Mathematics and Statistics
Medicine
Math Statistics
Biology
Pathology & Molecular Medicine
Anthropology
Mathematics
Other

Co-authors at University of Victoria, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.

David Earn

Mathematics and Statistics

4 shared papers, latest 2020

Juxin Liu

Mathematics and Statistics

2 shared papers, latest 2026

Roderick Edwards

Mathematics and Statistics

1 shared papers, latest 2025

Wolfgang Kunze

Psychiatry & Behavioural Neurosciences

1 shared papers, latest 2014

Gurmit Singh

Pathology & Molecular Medicine

1 shared papers, latest 2024

KEHINDE OLOBATUYI

Mathematics and Statistics

1 shared papers, latest 2026

Jude Kong

Epidemiology Division

1 shared papers, latest 2024

Slim Ibrahim

Math Statistics

1 shared papers, latest 2022

Hendrik Poinar

Anthropology

1 shared papers, latest 2020

Michael Li

Mathematics and Statistics

1 shared papers, latest 2019

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 CIHR grant from 2024

Subject: Prospective PhD student: Artificial Intelligence Dear Professor Ma, 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 "Multi-event dynamic capture-recapture model for big data: Estimating undetected COVID-19 cases in British Columbia, Canada." (2026), 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 CIHR-funded project "Understand the dynamics of Highly Pathogenic Avian Influenza (HPAI) through integrative modelling approaches." (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]

Junling Ma

Research

Latest papers

Latest funding

Multi-event dynamic capture-recapture model for big data: Estimating undetected COVID-19 cases in British Columbia, Canada.

Mechanistic modelling of highly pathogenic avian influenza: A scoping review revealing critical gaps in cross-species transmission models.

Estimation of the exponential growth rate of an epidemic.

Retrospective analysis of age-specific non-pharmaceutical interventions on wild-type SARS-CoV-2 in Canada.

Time evolution of infection state correlation of nodes in an SIR model on a random contact network.

The dynamics of CD4+ T cell proliferation and regulation.

Estimating the effect of contact tracing during the early stage of an epidemic.

Original Antigenic Sin in CD4+ T Cells.

Computational modeling to study the impact of changes in Nav1.8 sodium channel on neuropathic pain

The optimal spatially-dependent control measures to effectively and economically eliminate emerging infectious diseases.

Understand the dynamics of Highly Pathogenic Avian Influenza (HPAI) through integrative modelling approaches.

One Health Modelling Network for Emerging Infections (OMNI)

Mathematics for Public Health (MfPH)

Modelling disease dynamics with realistic population mixing patterns

Modeling the spread of infectious diseases on contact networks

Computing facility

Modeling the evolutionary and epidemiological patterns of infectious diseases

Frequent collaborators

Jonathan Dushoff

David Earn

Benjamin Bolker

Juxin Liu

Roderick Edwards

Iain Moyles

Wolfgang Kunze

Jan Huizinga

Premysl Bercik

Jihong Chen

Gurmit Singh

KEHINDE OLOBATUYI

Jude Kong

Slim Ibrahim

Hendrik Poinar

Michael Li