Statistics and Computer Science, Harvard University
About Susan Murphy
Susan Murphy is Mallinckrodt Professor of Statistics and of Computer Science and Radcliffe Alumnae Professor at the Radcliffe Institute at Harvard University, where she heads the Statistical Reinforcement Learning Lab. The lab’s work concerns the development of data analytic algorithms and methods for informing sequential decision making in health. In particular the lab focuses on (1) constructing individualized sequences of treatments (a.k.a. adaptive interventions) for use in informing clinical decision making and (2) constructing real-time individualized sequences of treatments (a.k.a. Just-in-Time Adaptive Interventions) delivered by mobile devices. Murphy’s group is engaged in various clinical trials that use real-time algorithms to learn and optimize the delivery of digital interventions. For her work on trial designs and analytics, Dr. Murphy was awarded a McArthur Fellowship in 2013, in 2014 she was elected a member of the National Academy of Medicine, and in 2016 she was elected a member of the National Academy of Sciences of the US National Academies.
Innovations in Methods for Adapting and Personalizing Interventions for Cancer Control
Self-Relevant Appeals to Engage in Self-Monitoring of Alcohol Use: A Micro-randomized Trial
The Hybrid Experimental Design
Time-Varying Model of Engagement with Digital Self Reporting
Results of the Sense2Stop Micro-Randomized Trial
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