Summary
Isaiah Lankham is a Health Equity Data Analyst with nine years of experience applying advanced statistical methods and data visualization to drive equitable health outcomes. Based in the Portland metro area, he combines expertise in Tableau/Power BI, SAS, and Python with a strong academic foundation—a PhD in Mathematics, an MS in Statistics, and a BS in Applied Mathematics and Statistics. He currently translates complex clinical and demographic data into actionable reports at Legacy Health while also teaching statistics as an adjunct lecturer at California State University, East Bay. Isaiah’s background in algorithm analysis and formal mathematics gives him a rigorous approach to model validation and reproducible analytics, helping stakeholders make data-driven decisions that prioritize equity.
9 years of coding experience
Bachelor’s Degree, Applied Mathematics and Statistics (Double Major; emphasis in analysis of algorithms), Bachelor’s Degree, Applied Mathematics and Statistics (Double Major; emphasis in analysis of algorithms) at California State University-Chico
Doctor of Philosophy (Ph.D.), Mathematics, Doctor of Philosophy (Ph.D.), Mathematics at University of California, Davis
Master’s Degree, Statistics, Master’s Degree, Statistics at California State University-East Bay