Proceedings of the National Academy of Sciences of the United States of America

About the PNAS Member Editor
Name Murphy, Susan A.
Location Harvard University
Primary Field Social and Political Sciences
Secondary Field Applied Mathematical Sciences
 Election Citation
Murphy is a leading statistician who has made fundamental contributions to theory of semi-parametric and adaptive treatment regimes. She has applied her innovative statistical and social science methodologies to mental health issues, focusing on individuals with chronic disorders in order to develop methods for constructing adaptive interventions.
 Research Interests
Susan Murphy's lab works on how to design trials and analyze the resulting data so as to personalize and adapt sequences of interventions to the individual. This is particularly useful when individuals are suffering from a chronic disorder in which treatment needs to adapted to the individual over time. They developed a new type of randomized trial, the sequential, multiple assignment randomized trial which has now been deployed across many areas of health including the treatment of substance use disorders, attention deficit disorders, depression, alcohol use disorders, obesity, obsessive compulsive disorders, insomnia, bipolar disorders, autism spectrum disorders and also in implementation science to improve the implementation of evidence based mental health treatment. The lab currently focuses on mobile health in which a sequence of in-the-moment supportive interventions might be provided to an individual over time. The lab has developed a randomized trial, the "micro-randomized trial" and associated data analytic methods that can be used to optimize the timing and content of the sequence of supportive interventions. The lab is also working on online data analytic methods for use in personalizing the timing and content of mobile interventions as the individual uses the mobile device and data is collected in real time.

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