Ryan completed a Ph.D. in Computer Science at the University of Oregon in March 2021. Prior to joining UO, Ryan graduated magna cum laude from the University of the Pacific with a double major in Computer Science and Physics. Ryan also was awarded the Outstanding Graduate Award for the Department of Computer Science at UOP. In the first two year of his Ph.D. studies, Ryan focused on scientific visualization and worked as part of the SDAV SciDAC SDAV Institute. In Fall 2015, he became a Lawrence Graduate Scholar at Lawrence Livermore National Laboratory, and switched research topics to efficient Monte Carlo on exascale computers. He continued as a Lawrence Graduate Scholar until April 2018, when he accepted a position as a full-time staff scientist at LLNL. He also continued as a remote, part-time Ph.D. student, and completed his dissertation in March 2021.