## Experience

January 2020 - Present **Postdoctoral Scholar**,
*Department of Statistics, University of California, Berkeley*

August 2014 - December 2019 **Graduate Student Researcher (GSR)**,
*Department of Statistics, University of California, Berkeley*

August 2016 - December 2018 **Data Science Fellow**,
*Berkeley Institute of Data Science, University of
California, Berkeley*

January 2015 - May 2017 **Graduate Student Instructor (GSI)**,
*Department of Statistics, University of California, Berkeley*

May 2016 - August 2016 **Quantitative Analyst Intern**,
*Google, Seattle*

February 2014 - July 2014 **Research Assistant**,
*Melanoma Institute Australia and School of Mathematics and
Statistics, The University of Sydney Australia*

## Education

**PhD in Statistics** , *University of California, Berkeley*, Graduated December 2019.
Thesis title: “Visualization, Prediction, and Causal Inference: Applications in Healthcare”

**Bachelor of Science (Advanced)
(First Class Honours and University Medal in Statistics)**,
*The University of Sydney, Australia*, Graduated November 2013.
Thesis title: “Network-based Biomarker Identification for Stage III Melanoma”

## Publications

Altieri N, **Barter RL**, Duncan J, Dwivedi R, Kumbier K, Li X, Netzorg R, Park B, Singh C, Tan YS, Tang T, Wang Y, Yu B (2020). Curating a COVID-19 data repository and forecasting county-level death counts in the United States, *arXiV* https://arxiv.org/abs/2005.07882

Yu B, **Barter RL** (2020). The Data Science Process: One Culture, *Journal of the American Statistical Association* https://www.tandfonline.com/doi/full/10.1080/01621459.2020.1762615

**Barter RL**, Yu B (2018). Superheat: Supervised heatmaps for visualizing
complex data, *Journal Of Computational And Graphical Statistics* www.tandfonline.com/doi/abs/10.1080/10618600.2018.1473780

**Barter RL**, Schramm SJ, Mann GJ, and Yang YH (2014). Network-based biomarkers enhance classical approaches to prognostic gene expression signatures, *BMC Systems Biology* www.biomedcentral.com/1752-0509/8/S4/S5

### On the web

**Barter RL**, Yu B (2017). Superheat: creating beautiful and extendable heatmaps for visualizing complex data in R. *IBS Biometric Bulletin*

**Barter RL**, Shrotriya S (2016). Integrated Data Analysis for Early Warning of Lung Failure. The Geisinger Collider Competition Winning Project. *ODBMS* http://www.odbms.org/2016/06/integrated-data-analysis-for-early-warning-of-lung-failure/

## Software

**superheat**, An R package with tools for visualizing and exploring data using supervised heatmaps.

## Teaching Experience

### Semester-long classes

Fall 2017 **Graduate Student Instructor (GSI)**,
*Department of Statistics, University of
California, Berkeley*

- STAT215A Statistical Models: Theory and Applications

Spring 2015 **Graduate Student Instructor (GSI)**,
*Department of Statistics, University of
California, Berkeley*

- STAT 135 Concepts in Statistics

March 2013 - July 2014 **Tutor**, *School of Mathematics and
Statistics, The University of Sydney Australia*

- PHAR 2183 Therapeutic Principles (Mathematics and Statistics Tutorial)
- MATH 1902 Linear Algebra (Advanced)
- MATH 1005 Statistics

### Workshops

March 8 2021, *An introduction to Tidymodels*, **R Ladies Baltimore**

June 30 2020, *Blogging in R with blogdown*, **R Ladies Bucharest**

March 2020, *Women’s Summit*, **Correlation One**

- TA for the month-long Women’s Summit workshop run by Correlation One. This program pairs mentors with aspiring female data scientists, combining hands-on learning, mentorship, and professional development in a multi-day event.

Feb 11 2020, *Interactivity and Shiny*, **Environment and Society: Data Science for the 21st Century**, UC Berkeley

A 1.5 hour workshop on interactivity and creating shiny applications to 15 students in the National Science Foundation Research Traineeship (NRT) interdisciplinary graduate training program at UC Berkeley at the interface of data, social and natural sciences.

October 16 2019, *Transitioning into the tidyverse*, **R Ladies San Francisco**

A 1.5 hour seminar-workshop on transitioning into the tidyverse. Aimed at people familiar with base R who want to familiarize themselves with the tidyverse, as well as those who have a little experience with the tidyverse and want a big picture of how it all fits together.

Aug 23 2019, *Transitioning into the tidyverse*, **Department of Mathematics and Statistics**, The University of Sydney

A 1 hour seminar-workshop on transitioning into the tidyverse. Aimed at people familiar with base R who want to familiarize themselves with the tidyverse, as well as those who have a little experience with the tidyverse and want a big picture of how it all fits together.

Aug 21 2019, *Learn to purrr*, **R Ladies Sydney**

A 2-hour workshop on the purrr R package for the R Ladies Sydney meetup.

Feb 12 2019, *Interactivity and Shiny*, **Environment and Society: Data Science for the 21st Century**, UC Berkeley

A 1.5 hour workshop on interactivity and creating shiny applications to 15 students in the National Science Foundation Research Traineeship (NRT) interdisciplinary graduate training program at UC Berkeley at the interface of data, social and natural sciences.

June 11-12 2018, *Software Carpentry: Shell, Git and R*, **Berkeley Institute For Data Science (BIDS)**

Co-taught a 2-day Software Carpentry workshop to 40 researchers at UC Berkeley.

I taught half of each of the Git and R lessons, corresponding to just over one third of the whole workshop.

April 4 2018, *Creating effective visualizations*, **Environment and Society: Data Science for the 21st Century**, UC Berkeley

A 1.5 hour workshop on general principles for creating effective figures to 15 students in the National Science Foundation Research Traineeship (NRT) interdisciplinary graduate training program at UC Berkeley at the interface of data, social and natural sciences.

March 7 2018, *ggplot2 workshop*, **Joint Genome Institute**

A 1.5 hour workshop on visualization (focusing on ggplot2) at Joint Genome Institute for 40 staff members.

November 1 2017, *ggplot2 workshop*, **The Hacker Within**, Berkeley Institute of Data Science

A 1 hour workshop on ggplot2 for The Hacker Within series which is a weekly peer learning group for sharing skills and best practices for scientific computation and data science (approx 20 attendees).

September 24 2017, *Visualization workshop*, **R Ladies SF**

A 30-minute workshop on visualization focusing on my superheat R package for 20 women at R Ladies (SF).

May 3 2017, *The Role of Machine Learning in Computerized Decision Making for Clinical Decision Support Systems in Healthcare*, **UC Davis**

April 14 2017, *Interactive Visualization in R*, **SGSA Seminar Series**

I ran a 1-hour workshop on interactive visualization in R for 15 graduate students in the statistics department.

March 6 2017, *Documentation for R packages workshop*, **Docathon 2017**, Berkeley Institute of Data Science

I ran a workshop for approximately 50 attendees on generating documentation for R packages as a part of the Docathon, an event highlighting the importance of software documentation.

## Community

2020 - Present *Certified Instructor* **Rstudio**

I passed the teaching and content exams for the RStudio instructor training

For hire for teaching for all your R needs

2020 *Judge* for the Correlation One Summer Datathon

- Judged projects prepared by teams of students based on a problem statement (related to the economic impact of the 2016 Olympics).

2018 - 2020 *Judge* for the **SciPy John Hunter Excellence in Plotting Competition**

- I was one of the Judges who chose the best visualizations from among the 38 entries to the John Hunter Excellence in Plotting Competition.

2018 - present *Certified Instructor*, **Software Carpentry**

- I am certified to run and teach software carpentry training workshops.

2017 - 2019 *Founder and organizer*, **Practical Statistics**

- I founded and organized Practical Statistics: a group of graduate students, post-docs and research staff from the Statistics department, BIDS and D-Lab who meet to teach each other about statistical topics that are widely used in science, but rarely taught to statisticians.

2016/17 *Co-president*, **Statistics Graduate Student Association (SGSA)**

- Together with Kellie Ottoboni, I acted as the head of the graduate student body for the statistics department.

## Talks

March 2021, **Teaching Data Science in the Real World**, Canadian Statistical Sciences Institute (CANSSI) Ontario.

August 2020, **Veridical Data Science: The Practice of Responsible Data Analysis and Decision Making**, *KDD 2020*.

January 2020, **Becoming an R blogger**, *RStudio::conf(2020)*. [slides, video]

May 2017 - **Superheat: An R Package for Generating Beautiful, Extendable, Customizable Heatmaps**, Berkeley Institute for Data Science (BIDS) Faire 2017. [video, slides]

March 2017 - **Organ transplantation in the presence of HIV**, Berkeley Statistics Annual Research Symposium (BSTARS 2017). [slides]

June 2016 - **Superheat: An R package for visualizing complex data**, UseR! 2016.

April 2016 - **Correlation vs Causation: Why the Media Gets it Wrong!**, UC Berkeley Cal Day 2016. [slides]

March 2016 - **Superheat: An R package for complex data visualization**, Berkeley Statistics Annual Research Symposium (BSTARS 2016).

October 2015 - **Supervised heatmaps: An R tool for complex data visualization**, Center for the Science of Information (CSoI) Virtual Brown Bag Seminar.

July 2014 - **Network-based biomarkers enhance classical approaches to prognostic gene expression signatures**, InCoB2014 (International Conference on Bioinformatics 2014).

March 2013 - **Estimation in ACD and log-ACD models**, Big Day In, AMSI (Australian Mathematical Sciences Institute).