Daniel Almirall is a faculty member at the d3center and Associate Professor in the Department of Statistics and Institute for Social Research at the University of Michigan. Dr. Almirall is a statistician and intervention scientist who develops and applies methods to form evidence-based adaptive interventions, including multilevel adaptive interventions and just-in-time adaptive interventions.

Adaptive interventions are used to guide ongoing intervention decision-making, such as clinical decisions for the on-going management of chronic illnesses such as drug abuse (his primary area of application), depression, anxiety, autism, obesity, or HIV/AIDS. His methodological research includes causal inference methods and the development of novel data collection designs, such as sequential multiple assignment randomized trials (SMART), clustered SMARTs, multilevel SMARTs, micro-randomized trials (MRT) and associated analytical methods. He is also pioneering methodologies for multilevel adaptive implementation strategies (MAISYs) via Multilevel Implementation SMARTs (MI-SMARTs).