Before joining SKKU, he worked as a statistician at IBM TJ Watson Research Center from 2012 to 2017. He received his master's and doctoral degrees from University of Wisconsin at 2010 and 2012, respectively. His research areas include developing new statistical methodologies for solving problems in industry and engineering – in the area of design and analysis of computer experiments, remote-sensing technology, wireless sensor networks and IoT.