Summary
Daniel Swan is a freelance methodologist and statistical programmer with 11 years of experience translating complex causal research into actionable practice for federal clients, academic teams, and cross-functional stakeholders. He specializes in research design, advanced statistical programming in R, and evidence-clearinghouse standards—having contributed to three clearinghouse projects and helped shape their evaluation criteria. Comfortable leading training efforts and collaborative teams, he has overseen large-scale review projects (thousands of abstracts and hundreds of full-text reviews) and improved reviewer training efficiency through data-driven analysis. Known for clear communication and practical facilitation, he helps teams avoid getting stuck on tough methodological problems while giving constructive feedback that raises quality. Based in Norfolk, VA, he blends deep quantitative rigor with a talent for making methods accessible to nontechnical audiences.
11 years of coding experience
14 years of employment as a software developer
M.S., Psychological Sciences, M.S., Psychological Sciences at The University of Texas at Dallas
Doctor of Philosophy (PhD), Educational Psychology - Quantitative Methods, Doctor of Philosophy (PhD), Educational Psychology - Quantitative Methods at The University of Texas at Austin