Dr Ruth Bowness

Dr Ruth Bowness
Research Fellow



I graduated with a BSc in Mathematics from the University of St Andrews in 2005, and after Masters courses in Mathematics and Numerical Computing from the University of Cambridge and the University of Manchester, I returned to St Andrews to complete a PhD in Applied Maths. During my PhD I worked in the Solar group, my project involved numerically solving the Magnetohydrodynamic (MHD) equations in order to model solar phenomena.

I joined the Infection Group within the St Andrews Medical School in September 2012 to work on the PreDiCT-TB work programme, where I have been developing an appropriate mathematical framework within which data generated from experiments and tuberculosis clinical trials can be integrated. In this way we attempt to form template models that could help to form TB treatment plans and aid future drug development. Also working with the Mathematical Biology group in the School of Mathematics, my research involves using partial and ordinary differential equations, and individual-based models to describe infectious disease spread within the body and to simulate antibiotic treatment strategies. My current multidisciplinary project focuses on developing a spatial model to describe tuberculosis disease progression and treatment in the lungs. Ultimately the model will be capable of simulating new therapeutic approaches for multi-drug resistant tuberculosis.

data source: symbiosis

Research Overview from research@st-andrews

I am an MRC research fellow based in the School of Medicine at the University of St Andrews. My research interests lie in developing in host mathematical models for infectious diseases. Also working with the Mathematical Biology group in the School of Mathematics, my research involves using partial and ordinary differential equations, and individual-based models to describe infectious disease spread within the body and to simulate antibiotic treatment strategies. My current multidisciplinary project focuses on developing a spatial model to describe tuberculosis disease progression and treatment in the lungs. Ultimately the model will be capable of simulating new therapeutic approaches for multi-drug resistant tuberculosis.

 


source: research@st-andrews
Recent publications listed in research@st-andrews
Bowness, R 2016, Systems medicine and infection. in U Schmitz & O Wolkenhauer (eds), Systems Medicine. Methods in Molecular Biology, vol. 1386, Springer, pp. 107-118. DOI: 10.1007/978-1-4939-3283-2_7
Donald, I, Meyer, K, Gillespie, SH, Bowness, R & Brengman, J 2015, Project Sanitarium: gaming TB - A serious game for a serious problem. in 7th International Conference on Games and Virtual Worlds for Serious Applications, VS-Games 2015., 7295782, IEEE, Seventh International Conference on Virtual Worlds and Games for Serious Applications: VS-Games 2015, University of Skövde, Sweden, 16-18 September. DOI: 10.1109/VS-GAMES.2015.7295782
Bowness, R, Boeree, MJ, Aarnoutse, R, Dawson, R, Diacon, A, Mangu, C, Heinrich, N, Ntinginya, NE, Kohlenberg, A, Mtafya, B, Phillips, PPJ, Rachow, A, Plemper van Balen, G & Gillespie, SH 2015, 'The relationship between Mycobacterium tuberculosis MGIT time to positivity and cfu in sputum samples demonstrates changing bacterial phenotypes potentially reflecting the impact of chemotherapy on critical sub-populations' Journal of Antimicrobial Chemotherapy, vol 70, no. 2, pp. 448-455. DOI: 10.1093/jac/dku415