Experience
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
Education
(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
Publications
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/
Software
superheat, An R package with tools for visualizing and exploring data using supervised heatmaps.
Teaching Experience
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
Community
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.
Talks
Conference Talks
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 - The Role of Machine Learning in Computerized Decision Making for Clinical Decision Support Systems in Healthcare, UC Davis. [video, slides]
May 2017 - Superheat: An R Package for Generating Beautiful, Extendable, Customizable Heatmaps, Berkeley Institute for Data Science (BIDS) Faire 2017. [video, slides]
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).
