Decision Analytics Lab aims to develop computationally tractable methods to solve large-scale decision problems. It uses interdisciplinary approaches, which lie in the intersection of Large Scale Optimization and Artificial Intelligent (AI). The research goal is to leverage the strengths of both disciplines to ensure interpretable, robust and reliable decisions. These techniques are applied to high stake societal problems in healthcare, energy and humanitarian logistics.
Key focus of our Lab is to develop: