Summary
Lisa Bramer is Chief Data Scientist and Statistician at Pacific Northwest National Laboratory with 11 years of experience applying advanced statistical and machine learning methods to biological and 'omics data. She leads multidisciplinary teams focused on data integration, exploratory visualization for big data, and developing robust software for biological data processing. Her work spans spatial and time series modeling, hierarchical and Bayesian approaches, and experimental design, with a strong emphasis on making complex analyses interpretable for domain scientists. As a lecturer in a bioinformatics and genomics master's program, she bridges research and education, mentoring the next generation of computational biologists. Based in Richland, Washington, she combines deep statistical theory from a PhD in Statistics with practical experience delivering production-ready analytics at national-lab scale.
11 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (PhD), Statistics, Doctor of Philosophy (PhD), Statistics at Iowa State University
Bachelor of Science (BS), Mathematics and Statistics, Bachelor of Science (BS), Mathematics and Statistics at Purdue University