Tackling Antibiotic
Resistance

       Viktoria Brunner

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I am a computational biology PhD student working on antimicrobial resistance prediction in the Fowler group. We are part of the wider group of modernising medical microbiology at the Nuffield Department of Medicine, University of Oxford.

The overall aim of our research is to improve susceptibility prediction for antibiotics used in treatment of tuberculosis and other infectious diseases. To achieve this goal, we use the large dataset of tuberculosis genomes collected as part of the CRyPTIC project to train machine learning algorithms to better the prediction of susceptibility to different anitbiotics. This could be an important step towards tackling the spread of resistance and thereby the threat of a post-antibiotic era.

I mostly code in Python, but have conducted previous projects in R, MatLab and Java. Although I was formally trained as a biologist, I enjoy using computational tools to direct my research. For further information please refer to my CV or LinkedIn.