Dr. Kelly is a statistician, programmer, and biologist with diverse training and a passion for solving quantitative problems. He has extensive experience developing and applying novel methods including statistical models, analytical techniques, and computational tools. Much of his experience and education pertain to environmental and global change science. In this capacity, Ryan has led several studies, including analysis of paleoclimate and paleoenvironmental indicators, development and application of ecosystem models, and prediction of future wildfire risk in Alaska. He has also been recruited to collaborate in a wide range of other projects, usually to address unique quantitative challenges. More recently at Neptune and Company, Inc., Ryan served as the lead developer for an agent-based model of virus transmission in high-risk environments, and assisted in designing new methods for identifying background groundwater contamination levels using machine learning algorithms.