Casey Shannon is a data scientist and computational biologist. At the PROOF Centre of Excellence, he uses high dimensional gene, protein, and metabolite data to derive clinically useful diagnostic or prognostic tests. This involves the application of machine learning approaches to identify informative features from the vast amounts of data generated by high throughput omics platforms. 

Prior to joining PROOF, Casey’s research interests included the study of spinal cord injury in rodent models, particularly the use of adult skin-derived stem-cells in spinal cord injury repair. This work lead to publications in The Journal of Neurotrauma and The Journal of Neuroscience.

Casey holds Bachelor’s degrees in Cell Physiology and Genetics, as well as Computer Science, from the University of British Columbia.