Lina Montoya

Join Lina Montoya, a postdoctoral researcher at UNC Chapel Hill focused on causal inference in precision medicine. She dives into her innovative work on Optimal Dynamic Treatment rules, particularly in the U.S. criminal justice system. Lina discusses the critical role of neglected assumptions in causal inference, the super learner algorithm's impact on predicting treatment effectiveness, and future research directions aimed at optimizing therapy delivery in resource-constrained settings like rural Kenya. This engaging discussion highlights the intersection of AI, healthcare, and justice.