Xuyuan Wang, University of Alberta

Research

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

Latest papers

Bayesian-calibrated global sensitivity analysis for mathematical models using generative AI.
PLoS computational biology · 2026 · first author
Bayesian Identifiability Analysis for Infectious Disease Models: Parameter Reduction and Model Selection.
Bulletin of mathematical biology · 2026 · first author
The tale of two assumptions: incorporating healthcare-seeking behaviour in epidemic forecasting.
BMC infectious diseases · 2025

All 3 publications

3 publications.

01

Bayesian-calibrated global sensitivity analysis for mathematical models using generative AI.

Wang X

PLoS computational biology2026First author

DOI: 10.1371/journal.pcbi.1013312 PMID: 41838759

02

Bayesian Identifiability Analysis for Infectious Disease Models: Parameter Reduction and Model Selection.

Wang X

Bulletin of mathematical biology2026First author

DOI: 10.1007/s11538-026-01596-5 PMID: 41617922

03

The tale of two assumptions: incorporating healthcare-seeking behaviour in epidemic forecasting.

Varughese M, Roda W, Han D, Wang X, Li MY

BMC infectious diseases2025

DOI: 10.1186/s12879-025-11940-0 PMID: 41267014

Frequent collaborators

Marie Varughese

Mathematics & Statistical Sciences

1 shared papers, latest 2025

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Subject: Prospective PhD student Dear Professor Wang, 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 "Bayesian-calibrated global sensitivity analysis for mathematical models using generative AI." (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.] 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]