Dylan J. McDowell is a computational economist and software engineer currently working in tool development, time series analysis, techno-economics, and cyber security. Since joining Idaho National Laboratory (INL) in 2019, Dylan has contributed to several software suites developed by the laboratory. He started at INL working on MOOSE, a multiphysics simulation environment, and BISON, a finite-element nuclear fuel performance code. In 2020, Dylan transferred to work on RAVEN, an uncertainty and risk analysis software, and HERON, a techno-economic analysis framework. He has since become the lead developer of HERON and manages the ongoing development of new features to the software in collaboration with universities and commercial partners. Most recently, Dylan has served as a work package manager for the Integrated Energy Systems (IES) program. His work primarily revolves around researching and improving the treatment of stochastic, time-dependent, market demand and pricing signals for use in techno-economic modeling and simulation. Dylan’s skills shine particularly when it comes to project management and strategy. He prides himself on bridging the gap between technical fidelity and business utility. Dylan works at his highest level when he can develop and campaign a vision that benefits engineers and high-level decision-makers. Dylan has earned two undergraduate degrees. A B.S. in Economics and a B.S. in Applied Mathematics from Brigham Young University - Idaho. Before INL, Dylan worked as a data scientist for an agronomy research consulting firm and interned at Goldman Sachs during his junior year of undergrad. B.S. Economics - Brigham Young University - Idaho B.S. Applied Mathematics - Brigham Young University - Idaho Research Interests: Stochastic optimization, uncertainty quantification, bayesian modeling, probabilistic programming, time-series analysis, signal processing, and behavioral & energy economics.
Listed skills include Economics, Microsoft Excel, Research, Microsoft Office, and 46 others.