BSc, MSc, PhD
Senior Postdoctoral Researcher & Junior Research Fellow
Combining Analytical Chemistry with Multivariate Statistical methods at the interface of Medicine and Biology
Fay graduated from Warwick University with a BSc in Mathematics before moving to the Department of Chemistry where she completed an MSc in Mathematical Biology and Biophysical Chemistry. Since completing her PhD in Analytical Chemical Biology, Fay has worked at Bruker (UK) and the Medical Research Council (Harwell) applying analytical chemistry techniques, with a focus on NMR spectroscopy, to a range of biological and medical research questions. Throughout her postdoctoral career, Fay’s research has focused on using a multidisciplinary combination of analytical chemistry, mathematics, and biology techniques to understand the chemistry of small molecule pathways associated with disease. In particular, Fay is particularly interested in better understanding the chemical processes associated with inflammation in the brain with aim of improving treatment of these diseases.
Fay joined the Department of Pharmacology at Oxford in October 2015. As a senior postdoctoral researcher in the Anthony lab, Fay manages a small team of metabolomics researchers and leads several projects which aim to develop NMR metabolomics and multivariate statistical methods to better diagnose, monitor, and predictive treatment response in inflammatory diseases of the central nervous system. In 2018, Fay was awarded a Junior Research Fellowship at Somerville College, Oxford.
Fay has received research funding from the MS Society, MRC, EPSRC, BSRC, Merck, and Numares AG.
A single administration of the antibiotic, minocycline, reduces fear processing and improves implicit learning in healthy volunteers: analysis of the serum metabolome
BURNET P. et al, (2020), Translational Psychiatry
Yeo T. et al, (2020), Ann Clin Transl Neurol, 7, 375 - 383
Aguilar JA. et al, (2019), Analyst, 144, 7270 - 7277
Yeo T. et al, (2019), Neurol Neuroimmunol Neuroinflamm, 6
Combined omics analysis of cerebrospinal fluid is able to predict conversion from clinically isolated syndrome to clinically definite MS within 4 years
Probert F. et al, (2019), MULTIPLE SCLEROSIS JOURNAL, 25, 277 - 278