Speaker "Chris Rupley" Details Back



Making big data human-digestible


Great stockpiles of data are not useful by themselves; we must be able to extract the information they contain. Ultimately, we will want this information to be consumed by a human in some way and our visual pathways are the highest-bandwidth routes to our mind’s eye. By selecting appropriate visualization vehicles, we are able to effectively take advantage of a person’s built-in hardware for understanding the world around them. This allows us to take large amounts of highly-dimensional data and shrink it down to the human scale.


Chris Rupley is a data scientist at where he is helping to build their next-generation A.I. platform. He previously worked as a physicist analyzing laser-matter interactions and has a M.S and B.S. in Electrical and Computer Engineering from Purdue University.