Susan Murphy, Ph.D.
Susan Murphy is Professor of Statistics, Computer Science and Radcliffe Alumnae Professor, Harvard University.
Dr. Murphy’s lab develops data analysis methods and experimental designs to improve real time sequential decision-making in mobile health. In particular, her lab develops algorithms, deployed on wearable devices, to deliver and continually optimize individually tailored treatments. She developed the micro-randomized trial for use in constructing mobile health interventions; this trial design is in use across a broad range of health related areas. In these trials each participant can be randomized or re-randomized 100’s of times. Browse a list of micro-randomized trials that are completed or are in the field.
Dr. Murphy is a member of the National Academy of Sciences and of the National Academy of Medicine, both of the U.S. National Academies. In 2013 she was awarded a MacArthur Fellowship for her work on experimental designs to inform sequential decision making.
Daniel Almirall, Ph.D.
Daniel Almirall is Research Associate Professor at the University of Michigan’s Survey Research Center.
Dr. Almirall is a statistician who develops methods to form evidence-based adaptive interventions. Adaptive interventions can be used to inform individualized intervention guidelines for the on-going management of chronic illnesses or disorders such as drug abuse, depression, anxiety, autism, obesity, or HIV/AIDS. More recently, Dr. Almirall has been interested in methods to form related adaptive implementation interventions and just-in-time-adaptive interventions in mobile health. His work includes the development of approaches related to the design, execution, and analysis of sequential multiple assignment randomized trials (SMARTs) and micro-randomized trials (MRTs). He is particularly interested in applications in child and adolescent mental health research.