Juan Arango Sabogal, Université de Montréal

Research

Bayesian latent class models Biosecurity Control Dairy cattle Diagnostic test validation Epidemiology Infectious disease Machine learning

Latest funding

Validation of individual- and herd-level tests for diagnosing leukosis in dairy cattle
NSERC · 2023 · Co-investigator
$113,863
Biosecurity in Canadian dairy farms: Unraveling the epidemiology of bovine infectious diseases and refining diagnostic strategies to improve their detection, prevention and control
NSERC · 2022 · Principal investigator
$78,000
Biosecurity in Canadian dairy farms: Unraveling the epidemiology of bovine infectious diseases and refining diagnostic strategies to improve their detection, prevention and control
NSERC · 2022 · Principal investigator
$12,500

All 3 grants and awards

Validation of individual- and herd-level tests for diagnosing leukosis in dairy cattle

Co-investigatorNSERC2023Alliance Grants

Principal investigators: Dufour, Simon S

Keywords: Bayesian; Bovine leukosis; Bulk milk; Dairy cattle; Diagnostic; ELISA; Latent class model; Milk; qPCR; Within herd prevalence

$113,863

Biosecurity in Canadian dairy farms: Unraveling the epidemiology of bovine infectious diseases and refining diagnostic strategies to improve their detection, prevention and control

Principal investigatorNSERC2022Discovery Grants Program - Individual

Principal investigators: Arango Sabogal, Juan Carlos

Keywords: epidemiology; infectious disease; dairy cattle; risk factors; diagnostic test validation; biosecurity; prevention; control; bayesian latent class models; machine learning

$78,000

Biosecurity in Canadian dairy farms: Unraveling the epidemiology of bovine infectious diseases and refining diagnostic strategies to improve their detection, prevention and control

Principal investigatorNSERC2022Discovery Launch Supplement

Principal investigators: Arango Sabogal, Juan Carlos

$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.

Write to this professor

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Applying for

Mention their NSERC grant from 2022

Subject: Prospective PhD student: Bayesian latent class models Dear Professor Arango Sabogal, 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 latent class models 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 "Biosecurity in Canadian dairy farms: Unraveling the epidemiology of bovine infectious diseases and refining diagnostic strategies to improve their detection, prevention and control" (2022), 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]