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