August 2016 - Present Data Science Fellow, Berkeley Institute of Data Science, University of California, Berkeley
August 2014 - May 2016 Graduate Student Researcher (GSR), Department of Statistics, University of California, Berkeley
November 2016 - present Visiting Student, Department of Surgery, University of California, San Francisco
May 2016 - August 2016 Quantitative Analyst Intern, Google, Seattle
Spring 2015, Fall 2016 Statistical Consultant, Department of Statistics, University of California, Berkeley
February 2014 - July 2014 Research Assistant, Melanoma Institute Australia and School of Mathematics and Statistics, The University of Sydney Australia
(current) PhD, Statistics , University of California, Berkeley, Expected Graduation 2019
Bachelor of Science (Advanced) (First Class Honours and University Medal in Statistics), The University of Sydney, Australia, Graduated November 2013
Barter RL, Yu B (2017). Superheat: Supervised heatmaps for visualizing complex data, (preprint) arXiv http://arxiv.org/abs/1512.01524
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, 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/
superheat, An R package with tools for visualizing and exploring data using supervised heatmaps.
March 2017 - Docathon Instructor, Berkeley Institute of Data Science
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
Spring 2017 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.
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).
April 2017 - Interactive Visualization in R, SGSA Seminar Series. [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).