Summary
Rebecca Barter is a Senior Data Scientist and educator with a PhD in Statistics and over a decade of experience turning messy, high-dimensional datasets—like electronic medical records, insurance claims, and genomics—into actionable insights. She blends advanced R programming and visualization expertise (author of the superheat package) with a gift for clear communication, making complex methods accessible through workshops and a widely read blog. As a certified RStudio and Software Carpentry instructor who has taught hundreds of thousands of learners, she pairs academic rigor from UC Berkeley with practical research roles at the University of Utah and Berkeley. Her forthcoming book with Professor Bin Yu, Veridical Data Science, highlights her commitment to responsible, transparent analysis and decision-making. Based in South Lake Tahoe, she uniquely balances research, teaching, and open-source tool development to accelerate reproducible, interpretable data science.
11 years of coding experience
6 years of employment as a software developer
PhD Statistics, PhD Statistics at University of California, Berkeley
The University of Sydney
English