Duncan Anderson

Duncan Anderson is a research director at S&P Global Energy, leading a team specializing in probabilistic simulation architectures for climate, weather, energy systems, and agricultural commodities. From a background in power market and LMP forecasting, his expertise extends to probabilistic weather simulation and integrating weather and climate uncertainty into agricultural yield forecasts and asset risk. Duncan holds a BS in Applied Economics from Cornell University and an MS in Industrial Engineering and Operations Research from UT Austin. His research focused on probabilistic simulation of physical infrastructure systems.