Principal Technical Advisor
Justin Talbot

About
Justin Talbot is a research scientist at Tableau Software. He earned his doctorate in Computer Science from Stanford University. His research focuses on foundational areas of information visualization and data analytics, including graphical perception, algorithms for automating the graphical design of visualizations, and the design of compilers and runtimes for data analytics and visualization. At Tableau, Justin closely collaborates with the development teams responsible for the VizQL query language, the calculation language, and for the statistics features.
Focus
- Algorithms for Automated Graphical Design of Visualizations
- Design of Compilers and Runtimes for Visualization and Analysis of Data
- Graphical Perception
Papers
Justin Talbot, Daniel Ting
SIGMOD ’22, June 12–17, 2022, Philadelphia, PA, USA
Anushka Anand, Justin Talbot
The IEEE Information Visualization Conference (Chicago, October 25-30, 2015)
Justin Talbot, Vidya Setlur, Anushka Anand
Infovis 2014, Paris, France
Justin Talbot, Zachary DeVito, Pat Hanrahan
ARRAY 2014, Edinburgh, UK.
Justin Talbot, John Gerth, Pan Hanrahan
Infovis 2012, Seattle, WA
Justin Talbot, Zachary DeVito, Pat Hanrahan
PACT 2012, Minneapolis, MN
Justin Talbot, John Gerth, Pat Hanrahan
Infovis 2011, Providence, RI
Justin Talbot, Richard M. Yoo, Christos Kozyrakis
Second International Workshop on MapReduce and its Applications (MAPREDUCE) 2011
Justin Talbot, Sharon Lin, Pat Hanrahan
Justin Talbot, Bongshin Lee, Desney Tan, Ashish Kapoor
CHI 2009, Boston, MA