Dr Katharina Giebel

Biography 

University responsibilities:

Lecturer in Sustainable Livestock Production

Program manager for the FdSc in Animal Science

Program Manager of the MSc in Agricultural Technology and Innovation

Member of Academic Board

Qualifications

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

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

Research 

Interests:

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:

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)

Teaching 

Qualifications:

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

 

Publications 

  • 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. Under review by PLOS Computational Biology
  • Maciel-Guerra, A., Esener, N., Giebel, K. et 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 Science, 7,581342. 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.