Daniel Almirall

Co-Director

Research Associate Professor
Department of Statistics
Institute for Social Research, University of Michigan

he/him/his

About Daniel Almirall

Daniel Almirall is a statistician who develops methods to form evidence-based adaptive interventions. Adaptive interventions are used to guide individualized intervention decisions for the on-going management of chronic illnesses or disorders such as drug abuse, depression, anxiety, autism, obesity, or HIV/AIDS. More recently, Mr. Almirall has been developing methods to inform the construction of optimized multilevel adaptive implementation interventions (MAISYs) using Multilevel Implementation SMARTs (MI-SMARTs). He is particularly interested in applications in mental health and substance use.

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Upcoming Events

Hybrid Experimental Designs for Developing Mobile Interventions

July 6, 2023
Leibniz Institute for Research and Information in Education
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Optimization of Adaptive Interventions

July 15, 2023, 10:45 - 12:00 p.m.
NIH Summer Institute on Randomized Behavioral Clinical Trials
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Leveraging digital technology to improve employee health and well-being: New intervention and experimental approaches

August 15, 2023
Disney Data and Analytics Conference
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Advances in Adaptive Interventions to Improve Outcomes for Individuals with SUD and HIV

October 3, 2023
UCSF, Center for AIDS Prevention Studies
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Optimizing the Adaptation and Personalization of SUD Services

October 18, 2023, 1:00 - 2:30 p.m.
Addiction Health Services Research Conference 2023
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