Chris has extensive experience defining and developing analytics for a variety of sensemaking and prediction tasks. As the principal data scientist at Jive Software, Chris focused on designing and developing advanced analytics for enterprise social search and online community health assessment. Prior to Jive, Chris spent over ten years as a senior research scientist at The Johns Hopkins University Applied Physics Laboratory and Lawrence Livermore National Laboratory. There he defined and developed machine learning approaches to address a variety of inference challenges across the Department of Defense and intelligence community. He holds a Ph.D. in Electrical and Computer Engineering from Carnegie Mellon University.