Martin Drews

Martin Drews is a Professor at the Department of Technology, Management and Economics at the Technical University of Denmark (DTU). His research focuses on climate economics, risk management, and energy policy with an emphasis on adaptation to climate change. He is actively involved in projects addressing compound climate extremes, flood risk assessment, and decision-making frameworks under uncertainty.

Key research areas include reinforcement learning applications in climate adaptation, coastal flood modeling, and interdisciplinary approaches to disaster resilience. He co-leads initiatives like the Horizon-RIA ACCRUE project and supervises multiple PhD students investigating climate policy, multi-hazard risk assessment, and compound event dynamics.

Recent studies emphasize the intersection of machine learning with climate adaptation, statistical methods for extreme event analysis, and the water-energy nexus. His work contributes to UN Sustainable Development Goals related to climate action, resilient infrastructure, and sustainable cities.

Dr. Drews collaborates internationally on projects such as compound event modeling in Denmark and Baltic Sea region studies. He has authored over 99 publications, with recent work highlighted in journals like Natural Hazards and Earth System Sciences and Bulletin of the American Meteorological Society.