Cathal Walsh is a chair in statistics and health decision science researcher who focuses on model calibration, evidence synthesis, and identifying decision makers' utilities. His work considers issues with big data such as whether conclusions can be drawn from all available data rather than just a sample, and the human decisions and biases that can impact modeling and data analysis. He questions assumptions around data collection and modeling in order to develop a more rigorous statistical framework.