Summary
Mckenzie Hagen is a PhD candidate in psychology at the University of Washington with eight years of research experience applying machine learning to large MRI datasets to model robust brain–behavior relationships. They blend rigorous experimental design with advanced computational methods developed during roles at Stanford and a visiting stint at Berkeley Lab. Comfortable moving between data engineering, statistical modeling, and neuroimaging pipelines, Mckenzie focuses on reproducibility and generalizable predictive models rather than black-box fits. Based in Seattle, they bring deep domain knowledge in cognitive neuroscience paired with practical research coordination experience, making them adept at translating complex neuroimaging findings into actionable scientific insights.
8 years of coding experience
Doctor of Philosophy - PhD, PSYCHOLOGY, Doctor of Philosophy - PhD, PSYCHOLOGY at University of Washington