Contact information
Phuong Quan
BSc, MSc
DPhil Student
Phuong is a part-time DPhil student based at the Big Data Institute.
She is investigating whether unsupervised and semi-supervised computational methods can be used on electronic health records to identify and understand temporal change-points, in particular whether they can help to distinguish between artefacts caused by e.g. changes in data collection methods versus real epidemiological trends.
She also currently works as a Medical Statistician in the Nuffield Department of Medicine, which she joined in 2012.
Phuong has a BSc in Mathematics from Warwick University, an MSc in Applied Statistics from Oxford University, and worked for several years as a software developer before joining academia.
Recent publications
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Timeliness of a potential automated system for national surveillance of healthcare-associated infections in England
Preprint
Quan TP. et al, (2025)
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Genomic epidemiology and longitudinal sampling of ward wastewater environments and patients reveals complexity of the transmission dynamics of blaKPC-carbapenemase-producing Enterobacterales in a hospital setting
Journal article
Stoesser N. et al, (2024), JAC AMR
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Development and validation of the Baseline Recurrence Risk in Cellulitis (BRRISC) score.
Journal article
L A Cross E. et al, (2024), J Infect, 88, 103 - 111
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Health Record Hiccups - 5526 real-world time series with change points labelled by crowd-sourced visual inspection
Journal article
QUAN TP. et al, (2023), GigaScience
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Penicillin Binding Protein Substitutions Co-occur with Fluoroquinolone Resistance in ‘Epidemic’ Lineages of Multi Drug-Resistant Clostridioides difficile
Journal article
DINGLE K. et al, (2023), mBio