Summary
Emily Palmer is a statistician with eight years of experience who recently completed a Ph.D. at Oregon State University developing longitudinal and phylogenetically aware methods for high-dimensional, compositional microbiome data. She is proficient in R (tidyverse) and has practical experience with Python, SQL, Java, JMP, and visualization tools from roles spanning academic research, consulting, and industry. Emily has translated complex methods into accessible tutorials and reports for clinicians and non-statisticians, and has a track record of delivering clear, actionable recommendations as a statistical consultant and instructor. Her work blends rigorous methodological innovation with applied quality-control and automation efforts—skills she used both in academia and at HP—to move analyses from prototype to reproducible practice. Based in Corvallis, she welcomes collaborations and opportunities in statistics and data science that leverage her niche expertise in microbiome longitudinal analysis.
8 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at Oregon State University
Bachelor’s Degree, Mathematics with a concentration in Statistics, Bachelor’s Degree, Mathematics with a concentration in Statistics at Reed College
English, Swedish, Spanish, Chinese