Summary
Christopher Maerzluft is a statistical programmer with 8+ years of experience building scalable statistical models, high-performance simulation workflows, and interactive web tools to surface insights for research and policy teams. Based in Livermore, CA, he has driven compute-heavy projects at RAND—running 1,000+ large-scale agent-based simulation runs on HPC in AWS—and now applies that expertise at Fred Hutch. He excels at turning complex research questions into reproducible code and client-facing Shiny dashboards, and has a track record of quickly learning new tools (SAS in two weeks) to meet project needs. With an MS in Applied Data Science and a background in economics and statistics from UCLA, he blends rigorous methods with practical engineering to deliver auditable, production-ready analyses.
7 years of coding experience
9 years of employment as a software developer
Victor Valley College
Bachelor's degree, Economics and Statistics, Bachelor's degree, Economics and Statistics at University of California, Los Angeles
Master of Science - MS, Applied Data Science, 3.75/4.00, Master of Science - MS, Applied Data Science, 3.75/4.00 at Syracuse University School of Information Studies