Robust Decision Making

Robust Decision Making (RDM) is a framework for making decisions under deep uncertainty—situations where we cannot reliably predict future conditions or outcomes. My research applies RDM to health policy challenges, including stress-testing COVID-19 reopening strategies and evaluating the robustness of cancer screening guidelines to natural history uncertainties. Rather than seeking optimal solutions based on uncertain predictions, RDM identifies strategies that perform well across a wide range of plausible futures, helping policymakers make more resilient decisions when facing fundamental uncertainties.