Rebecca Barter, PhD, is a Research Assistant Professor at the University of Utah School of Medicine in the Division of Epidemiology. Dr Barter's work at the University of Utah focuses on campus-wide data science education as well as broad applications of statistical and data science techniques, such as data visualization, causal inference, machine learning, and AI, to a range of problems in healthcare. Dr Barter received her PhD in Statistics from the University of California, Berkeley in 2019.
Education History
| Postdoctoral Training |
University of California, Berkeley |
Postdoctoral Scholar |
|---|---|---|
|
Berkeley Institute for Data Science, University of California, Berkeley |
Fellow | |
| Graduate Training |
University of California, Berkeley |
PhD |
|
University of Sydney |
BSc Advanced |
Selected Publications
Journal Article
- Barter RL, Yu B (2018). Superheat: An R package for creating beautiful and extendable heatmaps for visualizing complex data. J Comput Graph Stat, 27(4), 910-922. (Read full article)
- Barter RL, Schramm SJ, Mann GJ, Yang YH (2014). Network-based biomarkers enhance classical approaches to prognostic gene expression signatures. BMC Syst Biol, 8 Suppl 4, S5. (Read full article)