Our Team

Dr. Inbal Nahum-Shani’s research focuses on conceptual and methodological issues pertaining to the construction of effective Adaptive Interventions -- a treatment design in which ongoing information from the person is used to individualize the type/dose/modality of support (or treatment); and Just-In-Time Adaptive Interventions (JITAIs) -- a special form of adaptive interventions in which mobile devices are used to provide support in a timely and ecological manner. Of particular interest are JITAIs aiming to engage participants in treatment. Dr. Nahum-Shani collaborates with multiple scientific teams on the development of technology-based interventions that deliver support in real-time; these include interventions for engaging individuals in self-monitoring behaviors, emotion-regulation exercises, and mental health treatments. As a member of MD2K, a Big Data Center of Excellence awarded by the National Institutes of Health (NIH) as part of its Big Data-to-Knowledge initiative, her research focuses on developing and evaluating a JITAI that builds on sensor-enabled stress assessments to trigger stress-management support in real-time. As a founding member of the Data-science for Dynamic Decision-making lab (d3lab) at the University of Michigan, Dr. Nahum-Shani helps guide and mentor the development and conduct of studies aiming to develop adaptive interventions and JITAIs in various areas of health behavior change such as weight-loss, mental health, substance abuse, and HIV.