Miriah Meyer is assistant professor in the School of Computing and faculty member of the Scientific Computing and Imaging Institute at the University of Utah whose research focuses on designing systems that help people make sense of heterogeneous data. She develops visualization tools for scientists to integrate data with different structures and from different sources, allowing them to validate their data and models to develop new hypotheses and insights. She received her B.S. in astronomy and astrophysics at Penn State University in 1999 and earned a Ph.D. in computer science from the U of U in 2008. Between 2008 and 2011 she was a postdoctoral research fellow at Harvard University. During her last year at Harvard she worked as a visiting scientist at the Broad Institute of MIT and Harvard. Among her honors are the 2014 NSF CAREER award, 2012 Microsoft Research Faculty Fellowship and 2009 NSF/CRA Computing Innovation Fellow award. She was named a TED Fellow and PopTech Science Fellow in 2013 and was included on MIT Technology Review’s TR35 list of the top young innovators and Fast Company’s list of the 100 most creative people.