Group Leader in Systems Biology and Next Generation Sequencing Analysis
I completed my Ph.D. in molecular T cell immunology at Imperial College London in May 2013 and, after a two-year period of working as a post-doctoral scientist investigating the epigenetics of T cell activation at the University of Oxford; I was successful at applying for a highly competitive 3 year MRC Fellowship in Computational Biology (Computational Genomics and Training Centre (CGAT) program), also at the University of Oxford.
As a result of my extensive computational training at CGAT, I have developed a number of core competencies in statistics, mathematics and software development, enabling the difficult analysis and interpretation of next-generation sequencing data. It was during this time that I developed a strong appreciation of the power of combining different 'omics' datasets to facilitate drug discovery. As such, I have been involved in a number of collaborations across a wide range of disease models to identify potentially druggable targets using systems biology tools.
Following the completion of my MRC fellowship I was appointed group leader in systems biology at the Botnar research Centre.
Mass cytometry analysis reveals a distinct immune environment in peritoneal fluid in endometriosis: a characterisation study.
Guo M. et al, (2020), Bmc med, 18
A Chemical Probe for Tudor Domain Protein Spindlin1 to Investigate Chromatin Function.
Fagan V. et al, (2019), J med chem
Maternal circulating syncytiotrophoblast-derived extracellular vesicles contain biologically active 5'-tRNA halves.
Cooke WR. et al, (2019), Biochem biophys res commun
CGAT-core: a python framework for building scalable, reproducible computational biology workflows
Cribbs AP. et al, (2019), F1000research, 8, 377 - 377
Bromodomain inhibition of the coactivators CBP/EP300 facilitate cellular reprogramming.
Ebrahimi A. et al, (2019), Nat chem biol, 15, 519 - 528