Dr Katharina Giebel


University responsibilities:

Lecturer in Sustainable Livestock Production and Animal Science

Programme Manager of the MSc in Agricultural Technology and Innovation



PhD in Life Sciences (Veterinary Epidemiology), University of Warwick 2017

PgCert in Academic Practice, University of Gloucestershire 2021

PgCert in Transferable Skills in Science, University of Warwick 2016

PGA in Teaching and Learning in Higher Education, University of Warwick, 2016

BSc (Hons) Animal Science, University of Essex/Writtle University College 2012

Fellow of the Higher Education Academy



Animal Health and welfare, infectious diseases of wild, domestic and farm animals, epidemiology, antimicrobial resistance, microbiology, molecular biology, proteomics/mass spectrometry, precision livestock technologies

Research projects:

  • Unravelling Enterococcus cecorum infection on UK broiler farms: correlating clinical signs with pathogenesis and persistence using precision genomics, camera technology and farming practices (2022-2023, BBSRC endemic livestock disease initiative in collaboration with QUB, led by AHPA)
  • Reducing, refining and monitoring antibiotic use in dairy production (QMMS/University of Nottingham 2018-20210)
  • Novel animal-mounted sensor technologies for early detection of calving and calving problems in beef and dairy cattle (Writtle University College/SRUC, 2017-2018)
  • Persistence of Dichelobacter nodosus, the causal agent of ovine footrot (University of Warwick 2013-2017)



  • PGA in Teaching and Learning in Higher Education
  • Fellow of the Higher Education Academy  
  • PgCert in Academic Practice, University of Gloucestershire, 2021



  • Mclaughlin, D., Bradley, A., Dottorini, T., Giebel, K., Leach, K., Hyde, R., Green, M. (2022) Identifying associations between management practices and antimicrobial resistances of sentinel bacteria recovered from bulk tank milk on dairy farms. Preventative Veterinary Medicine, 105666, https://doi.org/10.1016/j.prevetmed.2022.105666
  • Esener, N., Marciel-Guerra, A., Giebel, K., Lea, D., Green., M.J., Bradley, A.J., Dottotini, T. (2021) Mass spectrometry and machine learning for the accurate diagnosis of benzylpenicillin and multi-drug resistance of Staphylococcus aureus in bovine mastitis. PLOS Computational Biology 17 (6) https://doi.org/10.1371/journal.pcbi.1009108
  • Maciel-Guerra, A., Esener, N., Giebel, Ket al. (2021) Prediction of Streptococcus uberis clinical mastitis treatment success in dairy herds by means of mass spectrometry and machine-learning, Nature Scientific Reports 11, 7736. https://doi.org/10.1038/s41598-021-87300-0
  • Giebel K., Green L.E., Purdy K.J. (2021). A Pilot Study to Investigate the Feasibility of a Multiple Locus Variable Number Tandem Repeat Analysis to Understand the Epidemiology of Dichelobacter nodosus in Ovine Footrot. Frontiers in Veterinary Science7,581342. https://doi.org/10.1016/j.vetmic.2017.11.017
  • Miller, G., Mitchell, M., Barker, Z., Giebel, K., Codling, E., Amory, J., Michie, C., Davison, Tachtatzis, C., Andonovic, I. and Duthie, C.-A, (2020). Using animal-mounted sensor technology and machine learning to predict time-to-calving in beef and dairy cows. Animal, 1-9. https://doi.org/10.1017/S1751731119003380
  • Clifton, R.1, Giebel, K.1, Liu, N.L.B.H., Purdy, K.J., Green. L.E. (2019) A paradigm shift on the persistence of Dichelobacter nodosus and Fusobacterium necrophorum in sheep and their environment. Nature Scientific Reports. 9, 14429. https://doi.org/10.1038/s41598-019-50822-9
  • Giebel, K, Green, L.E., Purdy, K.J.P. (2017) Persistence of Dichelobacter nodosus, the causal agent of ovine footrot. Proceedings of the British Society of Animal Science, 8 (1), p94.
  • Giebel, K. and Blackie N. (2013) The effect of providing a plant extract or a high intensity sweetener in the drinking water on the welfare and performance of weanling pigs. Proceedings of the British Society of Animal Science, 4 (1), p96.