Previous Work

bbklogo.jpg  – Birkbeck, University of London

Between 2016 and 2018 I completed my MSc in Bioinformatics and Systems Biology at Birkbeck and achieved a Distinction grade. Working with the pharmaceutical company UCB, I worked on creating a software tool for drug efficacy prediction, based on pharmacological targets ->  Ed Chalstrey MSc Thesis

wsd  – WallStreetDocs

From 2015 to 2018 I was employed as a PHP coder for WSD, a software as a service company in the financial sector, working with investment bank clients, primarily Citigroup.

 ucl  – University College London (UCL)

During the Summer of 2015 I was involved in a computational biology project in the Dessimoz lab at UCL to extend the django-based python code for the OMA orthology browser; specifically to include domain architecture images for the protein sequences. This work is still ongoing by other members of the research department.

tsl – The Sainsbury Laboratory (TSL) 

Between August 2013 and July 2014 I was employed as a pre-doctoral researcher in Bioinformatics at The Sainsbury Laboratory in Norwich. I developed a genetic algorithm called GATOC, and published two gems (software packages) for the Ruby language: pdist and pmeth. Source code for each of these projects can be found on my GitHub page. Below is a figure taken from the results section of my documentation for GATOC:

Example analysis from the development of GATOC

In the year after leaving, another internship student continued the work and wrote a paper in which I’m second author: Identification of Genomic regions Carrying a Causal Mutation in Unordered Genomes

The theme of the work was then further developed by another researcher who published in BMC Bioinformatics -> Rapid fine mapping of causative mutations from sets of unordered, contig-sized fragments of genome sequence

essex – University of Essex 

During my Biological Sciences degree at the University of Essex I completed a final year research project entitled: Differential Profiling and Gene-Functional Analysis of the Transcriptome in Normal and Lung Adenocarcinoma Cells. <- You can click here to read a PDF version of my dissertation; see below an example figure taken from it.

Diagram to display the network of enriched GO terms from the differential profiling of the transcriptome in normal and lung adenocarcinoma cells.

Diagram to display the network of enriched GO terms from the differential profiling of the transcriptome in normal and lung adenocarcinoma cells. Click image to enlarge.