Kevin Yuan

CDT Student

Kevin is a Health Data Science DPhil candidate developing machine learning methods for antimicrobial stewardship and treatment optimisation in hospital settings, supervised by Prof. David Eyre (Big Data Institute) and Prof. Tingting Zhu (Institute of Biomedical Engineering). His current work uses offline reinforcement learning to optimise antibiotic stopping decisions from electronic health record data, alongside projects on transformers and large language models as feature extractors from free-text clinical notes, and early prediction of antimicrobial resistance in bloodstream infections. He is particularly interested in how to robustly evaluate machine learning policies for high-stakes clinical decisions when randomised comparison is not possible.

Before Oxford, Kevin studied bioinformatics at the Technical University of Munich (TUM) and Ludwig Maximilian University of Munich (LMU), where he co-authored open-source tools for protein interaction analysis (DIGGER), SARS-CoV-2 drug repurposing (CoVex), and patient biclustering from multi-omics data (BiCoN).

Outside research, Kevin tinkers with embedded systems, firmware reverse engineering, and analogue electronics.

Projects: raviolico.de

Recent publications

Interplay between C-reactive protein responses and antibiotic prescribing in people with suspected infection

Gu Q. et al, (2025), BMC Infectious Diseases

Community-acquired pneumonia identification from electronic health records in the absence of a gold standard: A Bayesian latent class analysis.

Wei J. et al, (2025), PLOS digital health, 4

Transformers and large language models are efficient feature extractors for electronic health record studies.

Yuan K. et al, (2025), Communications medicine, 5

Machine learning and clinician predictions of antibiotic resistance in Enterobacterales bloodstream infections.

Yuan K. et al, (2025), The Journal of infection, 90

Community-acquired pneumonia identification from electronic health records in the absence of a gold standard: a Bayesian latent class analysis

Wei J. et al, (2025)

More publications

Cookies on this website

Contact information

Colleges

Social Media