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Eric Laber is a James B. Duke Distinguished Professor in the Department of Statistical Science at Duke University. His research focuses on the application of statistical reinforcement learning to inform decision-making in complex and dynamic environments. In addition to his primary role, he holds multiple appointments as a Professor in the Department of Biostatistics & Bioinformatics and as a Research Professor in Global Health. Eric's recent projects include the principal investigation of next-generation SMARTs for evaluating sequential cancer therapeutic strategies funded by the National Cancer Institute, and digital interventions targeting mental health issues in older adults. He has a robust background in statistical methodologies, which he leverages to enhance patient-centered outcomes and treatment efficacy in various fields of health science. Eric obtained his Ph.D. and M.A. from the University of Michigan, Ann Arbor.
Duke University • Durham, NC
Leading academic role in the Department of Statistical Science.
Duke University • Durham, NC
Engaging in teaching and research in statistical methodologies.
Duke Computing Initiative • Durham, NC
Leading initiatives to enhance computing capacity and research.
Duke University • Durham, NC
Conducting research in Biostatistics & Bioinformatics and Global Health.
Department of Biomedical Engineering (MS program)