Name: Panel Discussion with Zan Armstrong, Nadieh Bremer, and Tamara Munzner
Start: 2019-05-07T18:00:00-07:00
End: 2019-05-07T21:00:00-07:00
Location: App Academy

Join us at App Academy (https://www.appacademy.io/) for a conversation about data visualization in the worlds of academia, industry, and freelance work.

We have an amazing panel of guests in town for the Exploratorium's Visualise conference (https://www.exploratorium.edu/visualise):

• Nadieh Bremer, independent (https://twitter.com/nadiehbremer)
• Zan Armstrong, Google (https://twitter.com/zanstrong)
• Tamara Munzner, University of British Columbia (https://twitter.com/tamaramunzner)

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**Schedule**
6pm: doors open for food & socializing
7pm: panel discussion begins
8pm: show & tell

We'd love to hear your questions for our panel! Please comment them on Meetup or tweet at us: Shirley Wu (@sxywu) and Mason Chinkin (@MChinkin).

Finally, get involved in our show & tell - share your recent projects and work-in-progress with us!

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**Full Bios**

Nadieh Bremer is a graduated Astronomer, turned Data Scientist, turned Data Visualization Designer, based near Amsterdam. After working for a consultancy & fintech company where she discovered her passion for the visualization of data, she's now working as a freelancing data visualization designer under the name "Visual Cinnamon". As 2017's "Best Individual" in the Information is Beautiful Awards, she focuses on uniquely crafted (interactive) data visualizations that both engage and enlighten its audience. Ranging from companies as extensive as Google News Lab and UNESCO to small start-ups. From printed magazines such as Scientific American to an interactive experience for the Guardian to more promotionally focused artful visualizations for press releases, data-driven reports, and data art for in the office. As long as there's data that has a story to reveal.

Zan Armstrong is a data visualization engineer and designer. As part of Google’s Accelerated Science team, Zan creates custom visualizations for ml experts, data analysts, and scientists to help them to make scientific discoveries. With a background in mathematics and data analysis, she is especially fascinated by identifying what characteristics of the data might be most important and creating visual forms that best reveal those characteristics. She also has explained why Everything is Seasonal at OpenVis Conf, gave recommendations for Data Visualization for Analysis and Discovery at the SciPy conference, been exhibited at SF MoMa for work done with Stamen Design, won an Information is Beautiful award for an article published in Scientific American, and published research in IEEE InfoVis on Visualizing Statistical Mix Effects and Simpson's Paradox.

Tamara Munzner is a computer science professor at the University of British Columbia and holds a PhD from Stanford. She has been active in visualization research since 1991, has published over sixty-five papers, and co-chaired InfoVis and EuroVis. Her book Visualization Analysis and Design appeared in 2014, and she received the IEEE VGTC Visualization Technical Achievement Award in 2015. She is the editor of the AK Peters Visualization series with CRC Press. She has worked on problem-driven visualization in many domains including genomics, computational linguistics, web log analysis, and journalism. Her technique-driven visualization interests include graph drawing and dimensionality reduction. Her evaluation interests include controlled experiments in a laboratory setting and qualitative studies in the field.

Mason Chinkin

Shirley Xueyang Wu

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Web Technology

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JavaScript

Big Data

Computer Programming

Data Analytics

Data Visualization

Graphic Design

Panel Discussion with Zan Armstrong, Nadieh Bremer, and Tamara Munzner

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Panel Discussion with Zan Armstrong, Nadieh Bremer, and Tamara Munzner

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