Skills

R

100%

Statistics

100%

Data Visualisation

100%

Experience

 
 
 
 
 
February 2019 – Present
Cambridge, United Kingdom

Royal Society-Newton International Fellow, Research Associate

Cancer Research UK Cambridge Institute

University of Cambridge, CB2 0RE, United Kingdom
 
 
 
 
 
September 2017 – January 2019
Sydney, Australia

Research Associate

The University of Sydney

Judith and David Coffey Life Lab, Charles Perkins Centre
School of Mathematics and Statistics
 
 
 
 
 
May 2017 – August 2017
Sydney, Australia

Research Associate

The University of Sydney

School of Life and Environmental Science (SOLES)
 
 
 
 
 
March 2013 – November 2016
Sydney, Australia

Postgraduate Teaching Fellow

The University of Sydney

School of Mathematics and Statistics

Software

I have experience with developing R Shiny applications as well as writing R packages. These include:

  • DCARS Differential Correlation across Ranked Samples: DCARS is a flexible statistical approach which uses local weighted correlations to build a powerful and robust statistical test to identify significant variation in levels of concordance across a ranking of samples. This has the potential to discover biologically informative relationships between genes across a variable of interest, such as survival outcome.

  • cellAggregator R package Shiny app: cellAggregator is a Monte Carlo network method that simulates cell-cell aggregation assays in silico.

  • PACMEN PAn Cancer Mutation Expression Networks: A tool for exploring the relationships between mutations and gene expression changes in protein interaction subnetworks for 19 tissues analysed by TCGA.

  • KinasePA: Enables analysis of kinase perturbation experiments using directional pathway analysis.

Contact