Duncan Anderson

Duncan Anderson is an experienced professional in the energy and climate solutions field, currently serving as a Research Lead in Artificial Intelligence at S&P Global since March 2022, where leadership of a team of data scientists focuses on AI and machine learning applications for reducing CO2 emissions in the energy sector. Previous roles include Associate Director of Data Analytics at S&P Global, Associate Director of Data Science and Engineering at IHS Markit, and Senior Associate at Berkeley Research Group, where responsibilities spanned data architecture, cloud modernization, and long-term forecasting in energy markets. Duncan's work includes significant contributions to various projects involving energy supply economics, modeling renewable energy deployment, and developing advanced predictive models. Academic credentials include a Bachelor of Science in Applied Economics and Management from Cornell University and dual Master's degrees in Industrial Engineering from The University of Texas at Austin.