Research Areas

IOLab develops models, algorithms, and software for complex decision-making problems at the intersection of artificial intelligence and operations research. Our work combines methodological research with applications developed alongside public institutions, healthcare organizations, and industry.

Across these areas, we study metaheuristics and hybrid optimization, constraint and mathematical programming, algorithm configuration and selection, statistical analysis of optimization algorithms, and large language models as components of optimization systems.