Photo by Tony RinaldoPhoto by Tony Rinaldo
Susan A.Murphy
Radcliffe Alumnae Professor
Harvard University
Data Science Algorithms for Personalizing Mobile Health Interventions

Susan A. Murphy is a Radcliffe Alumnae Professor at the Radcliffe Institute and a professor of statistics and computer science at the Harvard John A. Paulson School of Engineering and Applied Sciences. Her lab develops data analysis methods and experimental designs to improve real-time sequential decision making in mobile health—in particular, algorithms that can be deployed on wearable devices—to deliver individually tailored treatments. The micro-randomized trial designed by her lab for use in mobile health interventions is in use across a broad range of health-related areas. In these trials, each participant can be randomized or re-randomized hundreds of times.

During her fellowship, Murphy is focusing on developing algorithms and data-analysis methods that facilitate and accommodate using other individuals’ data in order to personalize interventions in real time.

Murphy is a member of the National Academy of Sciences and of the National Academy of Medicine, both of the US National Academies. In 2013, she was awarded a MacArthur Fellowship for her work on experimental designs to inform sequential decision making. Murphy earned her PhD from the University of North Carolina at Chapel Hill.

2019–2020 Radcliffe Institute Fellows

This information is accurate as of the fellowship year indicated for each fellow.
Photo by Tony Rinaldo