For the past eight years, I have applied my statistical skills in genomics research, but I am interested in all areas of statistics (fine, Data Science). I love working in collaboration with other people, be they biologists, medical doctors, fellow statisticians, or anyone who simply has data and wants to understand what the hell is going on. A lot of my time is spent programming, mostly in R and Python.
I am currently a postdoctoral research fellow in the group of Kasper Hansen in the Department of Biostatistics at Johns Hopkins University. I analyse data from a variety of genomic assays, with a particular interest in epigenomics. To support and enable these analyses I write software to make my job, and those of people like me, easier.
In my PhD research, I developed statistical methods and software for the analysis of DNA methylation from whole-genome bisulfite-sequencing datasets. I was particularly interested in understanding the spatial dependence structure of CpG methylation and how this dependence can be exploited in analyses of DNA methylation data. My PhD advisors were Terry Speed and Peter Hall.
I have worked as a research assistant at WEHI in the statistical genetics group of Melanie Bahlo. In this role I performed linkage mapping and analysed genome-wide association studies to understand a variety of genetic diseases, from rare Mendelian diseases through to common complex traits. I also analysed many whole-exome and whole-genome sequencing experiments of both humans and mice.
For kicks, I play guitar. There are a couple of videos you can check out on my YouTube channel.