Jason B. Gibbons, PhD

Jason Gibbons, PhD, is an Assistant Professor and health economist whose research focuses on optimizing pharmaceutical treatment strategies and affordable drug access. His work combines methods from machine learning and econometrics to improve clinical decision-making and inform health policy. He is currently developing dynamic treatment regime (DTR) models using electronic health record data to predict optimal treatment sequences for individuals with substance use and mental health disorders. He also studies pharmaceutical market competition, with a focus on antitrust issues, patent strategies, and the effects of manufacturer practices on drug spending and health outcomes. Jason joins PORTAL from the University of Colorado.

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