Hi. I'm Chris Miller. I'm a graduate student in my fifth year of a Computational Biology PhD program, where I use large scale integration of genomic data to help understand the aetiology of cancer.
The main tools in my arsenal are Ruby, R, Bash, and access to a cluster of Linux machines. I also sling a little Perl and Python if the need arises.
My interests lie in creating integrative analysis and visualization pipelines that help us better understand structural variation in cancer. I spend lots of time looking at copy-number alterations, translocations, and gene fusions, but also routinely work with data from transcriptome sequencing and epigenomic assays. I also develop tools that combine different types of genomic and epigenomic data to generate hypotheses about functional modules that contribute to cancer phenotypes.