Summary
Emily Palmer is a statistician who earned a PhD in Statistics from Oregon State University, focusing on longitudinal methods for microbiome data analysis. She predominantly uses R and the tidyverse for research, coursework, and projects, and is also proficient in JMP, Python, SQL, and Java. Her career spans academia and industry, currently as a Statistician at HP, with prior roles including Statistical Consultant and Graduate Research Assistant at OSU and a Data Analyst at OCP. Her work ranges from eco-informatics REU projects to cancer-center research collaborations, reflecting a cross-disciplinary, data-driven approach to complex problems. Based in Corvallis, Oregon, she values collaboration, mentorship, and translating statistical insights into actionable decisions. She has a track record of teaching and tutoring across Reed College and OSU, shaping the next generation of statisticians while pursuing innovative data science applications.
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