Yale Quan
Statistical Research Consultant
Seattle, Washington, United States
Summary
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Senior🎓
Top SchoolYale Quan is a statistical research consultant based in Seattle with nine years of experience applying advanced quantitative methods to education and social science problems. He holds a Ph.D. in Measurement & Statistics from the University of Washington and consults with UW's Center for Social Science Computation and Research, teaching short courses and supporting faculty and students with applied statistical programming. Yale has designed and implemented longitudinal item response theory, multilevel, and structural equation models to validate surveys and inform equitable education policy, translating results into stakeholder-facing Tableau dashboards. His career blends rigorous academic research, classroom teaching at multiple universities, and hands-on program development for K–12 interventions, reflecting a focus on measurement, accessibility, and capacity building. Notably, he has led PRISMA-based literature synthesis efforts to support national assessment design—demonstrating both methodological rigor and practical impact.
8 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at University of WashingtonFoundational Math Credential (Incomplete), Foundational Math Credential (Incomplete) at California State University, Long BeachMaster of Science - MS, Master of Science - MS at California State University-Long BeachProgramming languages (1)
Github contributions (5)
yalequan/Projects
May 2019 - Feb 2020
Contributions:4 pushes, 1 branch in 8 months
yalequan/CSULB-STAT-475-SAS-Programming
Apr 2018 - May 2018
Contributions:20 pushes, 1 branch in 1 month
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