Martin Burgess

Martin Burgess is a lead data scientist at Raisely, focusing on enhancing data accessibility and enabling data-driven decisions for both the organization and its not-for-profit clients. In addition to this role, Martin serves as the creator of Buckley's & None, a forecasting model for the Australian Federal Election that integrates public opinion polling and historical results. Prior experience includes positions as a senior data scientist and consultant at Nous Group, and a machine learning and neuroscience tutor at the University of Sydney, where Martin initiated a seminar series to inspire neuroscience students. Martin also holds a PhD in Neuroscience from UNSW, where research focused on brain changes in schizophrenia, alongside previous roles as a data analyst and demonstrator in various academic settings. Education credentials include advanced degrees in neuroscience and data science proficiency from DataCamp and Coursera.