Risk analysis and optimization

The Risk Analysis and Optimization Chair (RAO) at EPFL, led by Professor Daniel Kuhn, focuses on developing rigorous new modeling paradigms for large-scale dynamic decision problems under uncertainty. The research encompasses a broad spectrum of resource allocation and decision problems in various fields such as public infrastructure investment planning, power systems operation, supply chain management, and more. The team at RAO works on data-driven optimization, efficient computational methods for stochastic and robust optimization problems, and approximation schemes for computational tractability. They aim to distil managerial insights and policy implications for innovative applications in energy systems engineering and management.