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Work Background
Composing Software SolutionsOwner
May. 2023- Spearheaded several Python-based data processing tools, including
an imaging readout processing pipeline, improving the efficiency and
reliability of analytical workflows.
- Built user-facing analytical applications, including a sample size
calculator developed with NiceGUI, translating complex statistical
logic into accessible, performant interfaces.
- Involved in the design and implementation of CI/CD workflows and
infrastructure using Terraform, with comprehensive unit and
integration testing to support production-grade scientific
applications.
- Built several R packages and applications with Sass, javascript, mysql,
and testing. CI implemented with github actions.
AstraZenecaSoftware Engineer
May. 2020 - May. 2023United Kingdom, Bristol• Led the design and development of the Cell Surface Explorer
application using R Shiny, delivering a production-ready MVP that
secured subsequent internal funding and adoption.
• Built HawQCS, a Python-based framework that accelerated the
generation of publication-quality visualisations from clinical and
imaging data.
• Owned the design and maintenance of a complex analytical web
application using R Shiny, JavaScript, and CSS, supporting survival
analysis and high-dimensional data exploration.
Financial Claims Made SimpleAdministrator
Mar. 2020 - May. 2020Bristol, England, United Kingdom
Cardiff University / Prifysgol CaerdyddPhD Student
Oct. 2016 - Mar. 2023The PhD used R, Python and Bash scripting to investigate the use of gene-set polygenic risk scores in determining the causal genetic mechanisms in schizophrenia. A complex bioinformatics workflow named SurPRSe and a shiny app named PRSAVE were created to generate and visualise the gene-set PRS. The relationship between the common genetics of schizophrenia and subcortical brain volume sizes was investigated. Gene-set PRS was found to improve our understanding of the genetic architecture between schizophrenia and cognition.
MRC-NGGBioinformatician
Oct. 2016 - Mar. 2023
Cardiff University / Prifysgol CaerdyddMRes Student
Sep. 2015 - Sep. 2016Cardiff, United KingdomIntegrating human and mouse gene expression data: An example in Huntington's disease An R pipeline was created that improved on the statistical rigidity of existing gene list annotation procedures and aimed to remove biological redundancy from the output. The pipeline was applied to two Huntington's disease gene expression datasets (human and mouse). The two datasets were integrated using weighted gene-coexpression network analysis.
LloydspharmacySales Assistant
Apr. 2015 - Sep. 2015Princes RisboroughA part-time job which has provided me with invaluable experience in the real world reality of the pharmaceutical industry, as well as a chance to hone and perfect the way I present myself.
University of BrightonStudent
Sep. 2011 - Jun. 2014BrightonProject title: The Effect of Bacterial Diversity on the Behaviour of Kin Discrimination in the Common Dormouse Past papers have identified several ways in which mammals discriminate between their kin including Phenotype-matching (individual learns its own phenotype and compares), spatial recognition (if mammals are living close together, altruistic acts are selected for) and recognition by association (learn to "recognise" familiar individuals). However, there is a lack of information describing the mechanism of kin discrimination, and confusion in the terminology used. The Fermentation for Chemical Recognition Hypothesis (FCRH) has been put forward as an individuality cue to contribute to kin discrimination behaviour. It proposes that the Major Histocompatability complex will encode for the immunology on the mammal in question and select for the bacterial colonies on the mammal. The first part declaring that all symbiotic bacteria which live in scent glands produce volatile odours already has substantial evidence in support. This project used the dormouse as a model organism to attempt to confirm whether the second part of the FCRH is valid (recognition cues recognised by the subject will be based on composition and structure of the bacterial communities inhabiting their glands). A relatedness estimation between dormice pedigrees was compared to the diversity of bacteria found on the dormice. A relationship was suggested but the results were insignificant.
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