Marcus Harris
Reproducibilibuddies Coordinator
Starting in the 2025–2026 academic year, Marcus Harris will be a fourth-year Ph.D. student in the University of Connecticut’s Research Methods, Measurement, and Evaluation program, with an expected graduation in 2027. He holds a Master of Public Policy and a Master of Educational Policy from Arizona State University, where he developed a deep interest in methodological innovation and data-driven research.
Research Interests:
– Researching and Advancing Reproducibility/Open Science
– Methodology (meta-research) / Evaluation
– Neuroscience and Neuroimaging Methods
– Psychometrics and Measurement Modeling (Multilevel Modeling, Structural Equation Modeling, Dynamic SEM, Item Response Theory, Time Series Analysis)
– Data Science
– Statistical Monte Calo Simulations
Research Focus and Projects:
Marcus’s current research centers on advancing reproducibility in computational and quantitative research. His dissertation investigates the evaluation of reproducible statistical code in the social sciences, complemented by his collaborative work with Dr. Arielle Keller on the ReproducibiliBuddies initiative—an innovative mentorship-based program designed to foster reproducible practices among researchers.
Previously, he led simulation studies comparing data science workflows to traditional methods in education and psychology. His work bridges computational, methodological, and applied domains with a focus on rigor and replicability.
Career Goals:
Marcus aspires to become a research professor at an R1 institution, contributing to the full lifecycle of methodological development—from theory and simulation to software application and evaluation. His interdisciplinary agenda spans psychometrics, data science, neuroscience, and public policy, with a commitment to building robust, accessible, and innovative statistical tools for researchers and institutions.
He welcomes opportunities for collaboration with fellow scholars working at the intersection of methods, science, and social impact.
