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Daniel Almirall is an Associate Professor in the Institute for Social Research and the Department of Statistics at the University of Michigan. He is interested in methods and study designs used to form adaptive interventions (AIs).  AIs can be used to inform individualized treatment guidelines for the on-going management of chronic illnesses or disorders such as drug abuse, depression, anxiety, autism, obesity, or HIV/AIDS. Dr. Almirall works on methods related to the design, execution, and analysis of sequential multiple-assignment randomized trials (SMARTs) which can be used to build and optimize AIs. He is also interested in the development of methods for causal inference in which treatments, covariates, and outcomes are all time-varying. He is particularly interested in applications in child and adolescent mental health research.