Ian Nason graduated from Mount Allison University with a BA in Economics, where he received the Don Norton Memorial award for making the greatest overall contribution to university life. Following graduation, Ian completed an internship at the Fraser Institute, where he worked on the development of a new age-adjustment method for international comparisons of health care expenditure. In 2016, Ian pursued an MSc in International Health Policy (Health Economics) at the London School of Economics, where he was awarded the Loch Exhibition award for merit and achievement. His dissertation, which he completed as a visiting student at Harvard in the Health Policy Data Science Lab, focused on the development of novel risk scores for cardiovascular events using ensemble machine learning methods. After graduation, Ian worked as an economist for the Ontario Medical Association, where he conducted research on the determinants of hospital readmissions and health care fragmentation. Ian’s current research interest is the use of machine learning methods for prediction and causal inference for health policy research.