Personal profile
Research interests
Investigating stress and how it affects NFkB in triple negative breast cancer using computational modelling. Potential therapeutic targets can be identified by exploring the cross-talk between the glucocorticoid receptor (GR), which binds cortisol during stress, and NFkB. Triple negative breast cancer is very heterogenous and lacks treatment options due to its lack of targets. TNBC is negative for both the estrogen and progesterone receptor which bind typical breast cancer treatments and so newer targets need to be found to improve the low survival rate. TNBC is different from other subtypes of breast cancer with GR upregualtion causing a worse prognosis which is the direct opposite for progesterone and estrogen-positive breast cancer. Therefore, by looking into it’s interaction with NFkB which is a transcription factor that controls inflammation and is usually associated with worse patient outcomes, and applying that into a computational model, new therapeutics can be discovered.
Education/Academic qualification
Master, Msci Biomedical Science, University of Sussex
1 Sept 2020 → 1 Jun 2024
Award Date: 22 Jul 2024
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