I graduated from my undergraduate degree at University of Birmingham in 2014, with a particular interest in studying the genetics of disease and began a Masters degree at King’s College London. It was during this time that I was introduced to bioinformatics.
In 2015, I began my PhD at University of Cambridge, developing tools and workflows to identify novel predisposing factors to rare hereditary cancers. During this time I was able to shine light on the relationship between DNA repair variants in Hereditary Diffuse Gastric Cancer predisposition. I was also able to define a new genetic skin syndrome, MALTA syndrome, by its underlying genetic aetiology.
I then decided to shift my research direction towards single cell omics. I moved to San Francisco to begin my postdoctoral career looking at the genetics of individual healthy skin melanocytes with the aim of identifying underlying factors involved in melanoma development. This research culminated in a first author publication and a keen interest in tool and workflow development to advance single cell research.
I began working in the group of Julio Saez-Rodriguez in 2020, developing a standardised workflow for the analysis of single cell transcriptomic data as part of the BioDaten project. By standardising this process, we aim to make our analysis process more accessible, transparent and reproducible.
My expertise and interests focus around the analysis of sequencing data. Having worked closely with clinicians and scientists from a multitude of backgrounds, I value the importance of generating simple, usable analysis workflows. However I also preach that sequencing data can tell a story beyond simple somatic variant calls and transcriptomic analysis. In an age where the sustainability of data production is key, I believe it is important to extract all the information possible from sequencing data. With this in mind, I aim to find and implement solutions to produce a fully developed biological story from minimal sequencing data, for example telomeric analysis to assess cellular age using off target reads or producing variant calls from RNA sequencing
|2020 - present: Bioinformatician, Institute for Computational Biomedicine, Heidelberg University, Germany|
|2018-2020: Postdoctoral Research Fellow, University of California, San Francisco, USA|
|2015-2018: PhD candidate, Department of Medical Genetics, University of Cambridge, UK|
|2014-2015: MRes, Translational Cancer Medicine, King’s College London, UK|
|2011-2014: BSc, Biological Sciences (Genetics), University of Birmingham, UK|