Hi there! I’m Rebecca Barter. I’m so glad you’ve made it to my page.

Originally from Australia, I moved to California in 2014 and graduated from my PhD in Statistics at UC Berkeley in December 2019, during which time I was advised primarily by Prof Bin Yu. I have been fortunate to be a Data Science Fellow for the past few years at the Berkeley Institute for Data Science (BIDS), and am about to start a post doctoral position with Bin Yu, where she and I will write a book aimed at teaching data science intuition and common sense technical skills using real, messy data. Our communication style is based on plain English and visual explanations, rather than math and code.

My research focuses on data science in healthcare (such as predicting surgical site infections using electronic health records). I particularly enjoy making sense of complex, messy and sometimes nonsensical datasets, such as electronic health records, and insurance claims. My dual passions are explaining “seemingly complicated” concepts to others in plain English, and exploring and uncovering the stories that underlie complex datasets in healthcare.

I have dabbled in writing software as the author of the superheat R package for creating beautiful and customizable heatmaps in R.

Looking for useful data science resources? Check out my useful resources page!

When I’m not doing R or stats stuff, I’m usually found climbing rocks somewhere, taking photos of beautiful places (check out my instagram), or throwing wonky mugs and bowls at the pottery studio!

If you’ve found my blogs helpful and want to buy me a coffee or tea, feel free to contribute over at https://ko-fi.com/rlbarter.