20102022

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Research interests

Sara Jabbari is a member of the Mathematical Biology group, specialising in modelling of microbial populations at intra- and intercellular levels, using both numerical and analytical approaches. Her work spans a range of biological applications, from drug development to bioenergy to understanding bacterial behaviour more generally. Her MRC fellowship has afforded her the opportunity to gain experimental training in order to generate the complementary data required to adopt a truly interdisciplinary approach to mathematical modelling in biology.

Her research includes mathematical modelling of:

  • Novel treatments for bacterial infections
  • Cell-cell bacterial communication (quorum sensing)
  • Biofuel production
  • Sporulation
  • Host-pathogen interactions
  • Bacterial toxin production
  • The emergence of antimicrobial resistance

 

Biography

Sara Jabbari graduated from Durham University in 2003, incorporating a year of study at the Université Louis Pasteur in Strasbourg, France. She went on to complete a PhD in mathematical modelling of cell-cell bacterial communication under the supervision of Prof. John R. King at the University of Nottingham.

Following a post-doc position on an international interdisciplinary systems biology project examining biofuel production by bacteria, in 2011 Sara was awarded a Biomedical Informatics Fellowship from the MRC. This has provided her with invaluable laboratory experience for carrying out and designing interdisciplinary projects. Sara was appointed a Birmingham Fellow in 2012 to explore mathematical modelling of medically significant microorganisms. In addition to her role in the School of Mathematics, she is a member of the Institute of Microbiology and Infection and the Centre for Computational Biology at Birmingham.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being

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