Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

Christopher Cole

DPhil Student

I'm a student in the DPhil Genomic Medicine and Statistics programme under the supervision of Gerton Lunter. My research focuses on using machine learning to understand the effects of cis regulatory elements impacting the stability of RNA transcripts. I also use coalescent particle filters to infer demographic history of populations in the ancient past to understand fundamental events in human history. 

I have previously worked extensively with the theory and application of polygenic risk scores in coronary artery disease, dyslipidemia, type 2 diabetes, and for predicting antipsychotic dosage. My undergraduate thesis at the University of Ottawa developed a multi-trait generalisation of the traditional model. I have also worked in natural language processing, developing the R package goldi for quantifying ontological terms in literature, and evaluating the utility of new techniques for addressing the multiple testing burden in GWAS such as stratified FDR and ODP. 

Outside of work, I am an avid hiker, coffee enthusiast, and home baker (though the last is a work in progress).