Aaron Peikert

Aaron Peikert is a Research Fellow and Principle Investigator at the Center for Lifespan Psychology, Max Planck Institute for Human Development. His work focuses on advancing reproducible research methodologies and open science practices in empirical sciences. He holds a doctorate in Psychology (summa cum laude) from the Max Planck Institute, with earlier degrees from Humboldt-Universität zu Berlin (M.Sc., B.Sc. Psychology). His research addresses computational reproducibility, preregistration frameworks, and statistical modeling for nested data.

Key professional roles include leadership of the 'Formal Methods in Lifespan Psychology' group, fellowship in the Max Planck-UCL Research School, and visiting scholar positions at UCL, LMU Munich, and others. He has developed influential software tools like StructuralEquationModels.jl and the worcs R package, promoting reproducible workflows. Peikert has authored or co-authored multiple peer-reviewed articles in journals such as Psychometrika, Structural Equation Modeling, and Data Science.

His awards include the Max Planck Society's Dieter Rampacher Prize (2023) for exceptional doctoral research and a German Academic Scholarship Foundation grant. He actively contributes to open science initiatives through workshops, policy drafting, and editorial reviewing for NeuroImage and other outlets.

Teaching highlights include multivariate statistics courses at Humboldt-Universität and advanced reproducibility workshops at institutions worldwide. His work bridges theoretical statistical innovation with practical implementation, emphasizing rigor in computational workflows and transparent research practices.