Zan Armstrong is a data visualization engineer, designer, and researcher. As part of Google’s Accelerated Science team, Zan works with data analysts, scientists, and machine learning engineers to create visualizations that help them make new discoveries. With a background in data analysis, she is especially fascinated by identifying what characteristics of the data might be most important and then creating techniques to reveal those characteristics visually. Prior to joining GAS, she won an Information is Beautiful Award for work published in Scientific American. The metagenomics analysis tool she created as part of the team at Stamen Design was displayed in SF MOMA's Designed in California exhibit. Visualizing Statistical Mix Effects and Simpson’s Paradox was published at IEEE InfoVis 2014 based on work done in collaboration with Google's Big Picture research team led by Fernanda Viégas and Martin Wattenberg.