Niko Kaciroti

Niko Kaciroti, PhD, is a Research Scientist in Biostatistics, Pediatrics, and the Center for Computational Medicine and Bioinformatics at the University of Michigan. He holds a PhD in Biostatistics from the University of Michigan (2002), an MSc in Biostatistics from the same institution (1994), and a BSc in Applied Mathematics from the University of Tirana (1991).

His research focuses on applying Bayesian methods to analyze complex longitudinal and multilevel data, particularly in pediatric and clinical trial contexts. Key areas include modeling missing data mechanisms, nonlinear dynamics, and sensitivity analyses. Collaborative work emphasizes pediatric obesity, media use impacts on child development, and cardiovascular disease outcomes.

Dr. Kaciroti has served as statistical editor for the American Journal of Preventive Medicine and associate editor for the International Journal of Behavior Nutrition and Physical Activity. He holds prestigious memberships in the International Statistical Institute and Society for Pediatric Research, and contributes to the Pediatric Epilepsy Research Foundation as a board member.

His publications span methodological advancements and applied health research, with recent work addressing mobile device impacts on child behavior, Bayesian pandemic modeling, and cardiovascular drug efficacy. His expertise bridges statistical innovation with translational health applications.