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

(In Progress) Barter RL, P Shankar, P Dayal, K Kumbier, H Ngyuen, B Yu (2019). Predictive Modeling of Surgical Site Infections Using Routinely Collected Electronic Health Record Data using Machine Learning

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

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 2020, Women’s Summit, Correlation One

  • TA for the month-long Women’s Summuit workshop run by Correlation One. This program pairs mentors with aspriring 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.

  • slides

October 16 2019, Transitioning into the tidyverse, R Ladies San Francsico

  • 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.

  • content

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.

  • content

Aug 21 2019, Learn to purrr, R Ladies Sydney

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

  • content

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.

  • slides

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.

  • slides

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.

  • Github repo.

Novmber 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).

  • Github repo.

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).

  • Github repo

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

  • A 2-hour workshop on the role of machine learning in CDS in healthcare at UC Davis.

  • video, slides

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.

  • slides

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.

  • Github repo

  • video


Community

2018 - 2019 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 - present 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

Conference Talks

January 2020, Becomming an R blogger, RStudio::conf 2020. [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.

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

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

Other Talks

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

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

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

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