Dr. Lynn Kaack

Lynn Kaack is an affiliate of the Energy and Technology Policy Group. In this group, she was a Postdoctoral Researcher and lecturer from April 2019 until July 2021. In August 2021, she left EPG to become external page Assistant Professor of Computer Science and Public Policy at the Hertie School in Berlin. Her research addresses energy systems and climate mitigation policy, and she uses methods from policy analysis, statistics, and machine learning. She is a chair of external page Climate Change AI, an organization facilitating work that meaningfully addresses climate change and is well-​served by machine learning tools. Lynn is also a member of the external page Austrian Council on Robotics and AI. She has published on the topics of energy forecasting and decarbonization of freight transportation in Proceedings of the National Academies of Science and Environmental Research Letters.

Lynn holds a PhD from the external page Department of Engineering and Public Policy at Carnegie Mellon University (CMU). During her PhD, she also earned a Master’s in Machine Learning from CMU’s external page Machine Learning Department. Lynn studied physics (B.S and M.S.) at external page Free University of Berlin, and spent time at external page Duke University during her master’s. She worked as a visiting researcher at external page United Nations University Institute for the Advanced Study of Sustainability in Tokyo.