Christopher is a commercial data scientist with a background in medical biotechnology and mathematics. With over ten years of experience at the nexus between new and emerging technologies in molecular biology, bioinformatics, big data and new models of genomic analysis for clinical use through AI and Machine Learning. Chris implemented the unique codon-context DNA algorithm for GMDx Genomics which is now capable of predicting responders/non-responders to immunotherapy drugs and predicting Cancer progression with up to 99% accuracy.Prior to GMDx, Chris worked on a range of genomics and bioinformatics projects in conjunction with Applied Precision Medicine Pty Ltd and Appistry LLC in the US. These projects included collaboration with key US genomic scientists from Washington University (St. Louis) who had contributed to the original mapping of the human genome. Chris worked locally supporting Appistry’s genomic analysis appliances and software pipelines in Australia with GeneWorks, QIMR, Monash University, University of Melbourne, University of Western Australia and the Australian Department of Primary Industries.Through a collaboration with GeneWorks, Chris consulted to Pfizer on bioinformatics relating to gene expression and his work enabled a new drug approach which was ultimately patented by Pfizer.Recently Chris has enabled early work on ECG pre-processing and genetics associated with arrhythmias. He holds a Bachelor of Biotechnology with Honours from Monash University.