about.md Kevin Yuan Oxford BDI · NDPH

About.

DPhil candidate at the Oxford Big Data Institute, working at the intersection of machine learning and health data.

Bio

I am a final-year DPhil student at the Oxford Big Data Institute, University of Oxford. My research focuses on machine learning for clinical decision-making, with a thesis on antimicrobial stewardship and treatment optimisation in hospital settings.

Before Oxford, I worked as a student research assistant at the Chair of Experimental Bioinformatics at TUM, contributing to projects in systems biology and systems medicine. Outside research, I enjoy cooking, building and breaking things.

Research Interests

  • Machine Learning for Healthcare
  • Natural Language Processing
  • Reinforcement Learning
  • Electronic Health Records
  • Antimicrobial Resistance
  • Bioinformatics
  • Systems Medicine

Education

  1. 2020 – Present
    DPhil (PhD) in Health Data Science University of Oxford thesis · Machine Learning for Antimicrobial Stewardship and Treatment Optimisation in Hospital Settings
  2. 2017 – 2020
    BSc in Bioinformatics Joint LMU München & Technical University of Munich (TUM) thesis · Linking gene expression data to transcription factor binding information

Publications

  1. K. Yuan, A. Luk, J. Wei, A. S. Walker, T. Zhu, D. W. Eyre "Machine learning and clinician predictions of antibiotic resistance in Enterobacterales bloodstream infections" Journal of Infection, 2025. doi:10.1016/j.jinf.2024.106388
  2. J. Wei, K. Yuan, A. Luk, A. S. Walker, D. W. Eyre "Community-acquired pneumonia identification from electronic health records in the absence of a gold standard: A Bayesian latent class analysis" PLOS Digital Health, 2025. doi:10.1371/journal.pdig.0000936
  3. Q. Gu, K. Yuan, J. Wei, C. H. Yoon, A. S. Danielsen, A. Luk, D. W. Eyre, A. S. Walker "Interplay between C-reactive protein responses and antibiotic prescribing in people with suspected infection" BMC Infectious Diseases, 2025. doi:10.1186/s12879-025-11381-9
  4. K. Yuan, C. H. Yoon, Q. Gu, H. Munby, A. S. Walker, T. Zhu, D. W. Eyre "Transformers and large language models are efficient feature extractors for electronic health record studies" Communications Medicine, 2025. doi:10.1038/s43856-025-00790-1
  5. L. Chammas, K. Yuan, S. Little, G. Roadknight, K. A. Varnai, S. C. Chang, S. Sze, J. Davies, A. Tsui, H. Salih, et al. "Changes in the investigation and management of suspected myocardial infarction and injury during COVID-19: a multi-centre study using routinely collected healthcare data" Frontiers in Cardiovascular Medicine, 2024. doi:10.3389/fcvm.2024.1406608
  6. Q. Gu, J. Wei, C. H. Yoon, K. Yuan, N. Jones, A. Brent, M. Llewelyn, T. E. Peto, K. B. Pouwels, D. W. Eyre, et al. "Distinct patterns of vital sign and inflammatory marker responses in adults with suspected bloodstream infection" Journal of Infection, 2024. doi:10.1016/j.jinf.2024.106156
  7. J. Wei, J. Zhou, Z. Zhang, K. Yuan, Q. Gu, A. Luk, A. J. Brent, D. A. Clifton, A. S. Walker, D. W. Eyre "Predicting individual patient and hospital-level discharge using machine learning" Communications Medicine, 2024. doi:10.1038/s43856-024-00673-x
  8. M. Hoffmann, N. Trummer, L. Schwartz, J. Jankowski, H. K. Lee, L. Willruth, O. Lazareva, K. Yuan, N. Baumgarten, F. Schmidt, et al. "TF-Prioritizer: a Java pipeline to prioritize condition-specific transcription factors" GigaScience, 2023. doi:10.1093/gigascience/giad026
  9. O. Lazareva, S. Canzar, K. Yuan, J. Baumbach, D. B. Blumenthal, P. Tieri, T. Kacprowski, M. List "BiCoN: Network-constrained biclustering of patients and omics data" Bioinformatics, 2021. doi:10.1093/bioinformatics/btaa1076
  10. Z. Louadi, K. Yuan, A. Gress, O. Tsoy, O. V. Kalinina, J. Baumbach, T. Kacprowski, M. List "DIGGER: exploring the functional role of alternative splicing in protein interactions" Nucleic Acids Research, 2021. doi:10.1093/nar/gkaa768
  11. S. Sadegh, J. Matschinske, D. B. Blumenthal, G. Galindez, T. Kacprowski, M. List, R. Nasirigerdeh, M. Oubounyt, A. Pichlmair, T. D. Rose, et al. "Exploring the SARS-CoV-2 virus-host-drug interactome for drug repurposing" Nature Communications, 2020. doi:10.1038/s41467-020-17189-2

Skills

  • Python
  • R
  • SQL
  • Rust
  • Machine Learning
  • NLP / LLMs
  • Reinforcement Learning
  • Statistical Modelling
  • PyTorch
  • Transformers
  • FastAPI
  • Docker
  • AWS
  • Terraform
  • CI/CD
  • Electronic Health Records
  • Bioinformatics

Contact