Biography

My research goal is to develop statistical and computational methods for understanding cellular heterogeneity and interaction using spatial genomics at single cell resolution and leveraging non-spatial single cell data sources.

Publications list available on Google Scholar and on ORCID.

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.