"My co-authors and I are studying whether reinforcement learning could help improve the allocation of government resources in challenging dynamic environments. Other projects I am excited about are in innovation, macroeconomic fluctuations, or political economy."
- Dr Friedrich Geiecke shares insights into his projects as part of our 30th Anniversary celebrations. Read the full close-up with Methodology faculty.
Friedrich Geiecke is an Assistant Professor in Computational Social Science in the Department of Methodology. He received his PhD in Economics from the London School of Economics and Political Science in 2020.
Friedrich’s research uses tools from machine learning to study questions in economics. He is interested in how economies innovate to grow and how they fluctuate in booms and crises. In other current research projects he applies reinforcement learning to dynamic economic policy problems or studies topics in political economy.
His methodological interests are in statistical machine learning, reinforcement learning, natural language processing, and applied econometrics.