CCEB Seminar- Susan Murphy, PhD

"Assessing Time-Varying Causal Interactions and Treatment Effects with Applications to Mobile Health" Susan Murphy, PhD Professor of Statistics Professor of Computer Science at the Harvard John A. Paulson School of Engineering and Applied Sciences Harvard University   My current primary interest concerns the development of experimental designs and statistical machine learning methods for informing sequential decision making in mobile health. These methods are used to construct real time treatment policies also known as Just-in-Time Adaptive Interventions (JITAIs). JITAIs are composed of a sequence of decision rules that specify in which user context it is most useful to provide an treatment as well as how to deliver the treatment to the user. The context is observed via sensor and self-report data and involves, for example, current and past user location, weather, social setting, user stress and mood, user behaviors and user engagement.