Summary
Bryan Mayer is a Sr. Staff Scientist with over a decade of interdisciplinary experience at the nexus of biostatistics, applied mathematics, and epidemiology, currently driving quantitative research on infectious disease prevention at Fred Hutch. He brings deep domain expertise across HIV, malaria, COVID, polio eradication, and transplant virology, tackling practical challenges in immunoassays, PK/PD, and vaccine development. Trained with a PhD in Epidemiology and an MS in Biostatistics from the University of Michigan, he combines rigorous modeling and likelihood-based inference with hands-on statistical programming in R and Python. Known for creative problem-framing, Bryan frequently builds data visualizations and interactive tools (including Shiny apps) to translate complex analyses for collaborators. Colleagues rely on him for clear interpretation of models and for bridging theoretical methods with actionable public-health insights.
9 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (PhD), Epidemiology, Doctor of Philosophy (PhD), Epidemiology at University of Michigan
Bachelor of Science (BS), Mathematics, Bachelor of Science (BS), Mathematics at Michigan State University
English