Center Advisors, Emerging Technologies & Data Analytics Core

Susan Murphy, PhD

Professor of Statistics, Professor of Computer Science at the Harvard John A. Paulson School of Engineering and Applied Sciences and Radcliffe Alumnae Professor at the Radcliffe Institute, Harvard University

Micro-Randomized Trials; Algorithms for Personalization; Causal Inference

Contact

Susan Murphy, PhD
Professor of Statistics, Professor of Computer Science at the Harvard John A. Paulson School of Engineering and Applied Sciences and Radcliffe Alumnae Professor at the Radcliffe Institute, Harvard University

Harvard University, Science Center 400 Suite, One Oxford Street, Cambridge, MA 02138-2901

samurphy@fas.harvard.edu

Susan Murphy’s research focuses on improving sequential, individualized, decision making in health, in particular, clinical trial design and data analysis to inform the development of just-in-time adaptive interventions in digital health. She developed the micro-randomized trial for use in constructing digital health interventions; this trial design is in use across a broad range of health-related areas. Her lab works on online learning algorithms for developing personalized digital health interventions. She is a 2013 MacArthur Fellow, a member of the National Academy of Sciences and the National Academy of Medicine, both of the US National Academies.

In her free time, Susan is an avid ice hockey player!

Dr. Murphy’s Harvard profile

Selected Publications
  • type-published
    1628726400
    8
    2021
    Qian T, Yoo H, Klasnja P, Almirall D, Murphy SA. Rejoinder: 'Estimating time-varying causal excursion effects in mobile health with binary outcomes'. Biometrika. 2021 Aug 12;108(3):551-555. doi: 10.1093/biomet/asab033. PMID: 34400906; PMCID: PMC8360281.
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  • type-published
    1624233600
    6
    2021
    Tomkins S, Liao P, Klasnja P, Murphy SA. IntelligentPooling: Practical Thompson sampling for mHealth. Mach Learn. 2021 Jun 21.  https://doi.org/10.1007/s10994-021-05995-8.
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  • type-published
    1584489600
    3
    2020
    Liao P, Greenewald K, Klasnja P, Murphy SA. Personalized HeartSteps: A reinforcement learning algorithm for optimizing physical activity. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 2020 March 18. Article No.: 18. https://doi.org/10.1145/3381007.
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