Ben Trumbore joined the Cornell Center for Advanced Computing in 2016 as a member of the Consulting Group. He previously spent 14 years at Cornell as an image synthesis researcher in the Computer Graphics program. Mr. Trumbore also has 14 years of industrial experience developing commercial-quality software. With Autodesk, he developed graphical user interfaces and architected data formats for use in several geographic information system (GIS) products. At Advion, Mr. Trumbore wrote low-level and user interface software to control an innovative, compact mass spectrometer.
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Event Overview
We’ve all been in meetings where someone is presenting the latest data and we can see our colleagues' eyes start to glaze over, almost as though they’re about to fall asleep. When data is presented in an attractive and engaging manner — incorporating things like color, layout, and different chart designs — it can capture an audience’s attention. Visually appealing data that highlights key points and trends makes it easier for viewers to quickly grasp complex information.
In this Keynote, Ben Trumbore, computational scientist from the Cornell University Center for Advanced Computing, will walk us through how you can turn a basic chart into a compelling graphic, creating a narrative that guides the viewer through the data and levels up your next presentation.
In this Keynote, Ben Trumbore, computational scientist from the Cornell University Center for Advanced Computing, will walk us through how you can turn a basic chart into a compelling graphic, creating a narrative that guides the viewer through the data and levels up your next presentation.
What You'll Learn
- How you can tell a compelling story with your data
- Simple ways to turn your basic charts and visuals into something more illustrative
- How to illustrate trends and patterns within a data set to make them easier to comprehend
- Must-haves when you are creating a new visual based on raw data
Speaker
Ben Trumbore
Computational Scientist
Cornell University Center for Advanced Computing
Computational Scientist, Cornell Center for Advanced Computing
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